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Paper Citation Record · LEDGER

The Keyl-Werner algorithm is not optimal for spectrum estimation

As of 10 August 2026, this Paper Citation Record lists 100 of 300 outbound references and 2 inbound Pith citation observations for arXiv:2607.27117.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2607.27117 v1

Coverage vector

measured 100 of 300 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-30T13:06:07.024090Z

measured 102 of 102 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T21:32:31.124235Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-04T21:32:32.345340Z

Reference resolution

100 of 300 outbound references displayed

  • verified exact2
  • verified fuzzy0
  • unresolved97
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 34661807-c959-41f3-9d4c-e69f821d5034 · outbound

This paper cites On Quantum Estimation, Quantum Cloning and Finite Quantum de Finetti Theorems , ISBN=.

The Keyl-Werner algorithm is not optimal for spectrum estimation On Quantum Estimation, Quantum Cloning and Finite Quantum de Finetti Theorems , ISBN=

Reference 1

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doi, observed 2026-07-30T13:10:56.287130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-07-30T13:05:57.157777Z digest=sha256:c559914c1fd8fb07620169a8658fec0b067df657cd0d889e029f04ed9ef87ba6

Observation 0d4659cc-6e09-4443-889f-87dbd204abe2 · outbound

This paper cites 2024 , eprint=.

The Keyl-Werner algorithm is not optimal for spectrum estimation 2024 , eprint=

Reference 2

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source=arxiv_source observed=2026-07-30T13:05:57.252468Z digest=sha256:e3091db448150daff14a3ef218d28d3c674015685a5b319826157fb96c965809

Observation 555c7c45-7e87-42f8-a9ea-0c80929dfefc · outbound

This paper cites 2013 , publisher=.

The Keyl-Werner algorithm is not optimal for spectrum estimation 2013 , publisher=

Reference 3

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source=arxiv_source observed=2026-07-30T13:05:57.333772Z digest=sha256:21802590f94530b6386a5313854dad67c3b50bea098908b31fa6e14526d8dd86

Observation d2220907-a9a8-4b37-bbf5-a78be53faf19 · outbound

This paper cites Ahle , keywords =.

The Keyl-Werner algorithm is not optimal for spectrum estimation Ahle , keywords =

Reference 4

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source=arxiv_source observed=2026-07-30T13:05:57.406357Z digest=sha256:9f24cf97e662e4ac10137739b69abcb9818d5e16faf763e4df018f07ffa1c3c8

Observation 27715e97-dbab-4a86-a098-8a57dc57b036 · outbound

This paper cites 2002 , note =.

The Keyl-Werner algorithm is not optimal for spectrum estimation 2002 , note =

Reference 5

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doi, observed 2026-07-30T13:10:56.272230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-07-30T13:05:57.498125Z digest=sha256:48c2331e567c950d91150d512e7b5a589b7115e4fac5bf8010511c0ca386bed1

Observation b9e90b0e-9922-45b7-9400-3bb49e4ec965 · outbound

This paper cites A survey on the complexity of learning quantum states , volume =.

The Keyl-Werner algorithm is not optimal for spectrum estimation A survey on the complexity of learning quantum states , volume =

Reference 6

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source=arxiv_source observed=2026-07-30T13:05:57.593388Z digest=sha256:c9ed95f230fbf7c91aa2846f37ca3f538e3193a2f8e50d9a27bab7ca120b6fc0

Observation df228892-b6ce-412b-b26a-b5b4171782ab · outbound

This paper cites an unresolved cited work.

The Keyl-Werner algorithm is not optimal for spectrum estimation Unresolved cited work

Reference 7

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Source-reported events for the cited work

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source=arxiv_source observed=2026-07-30T13:05:57.693547Z digest=sha256:6be712a93c189bc9cbb4b3feb8ab2d9ac354232b6f4551bcfff1c3431ffb5768

Observation 9b881f42-108d-45bd-8d4d-2239fdd6e9b5 · outbound

This paper cites Expositiones Mathematicae , volume =.

The Keyl-Werner algorithm is not optimal for spectrum estimation Expositiones Mathematicae , volume =

Reference 8

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source=arxiv_source observed=2026-07-30T13:05:57.845771Z digest=sha256:c1e004f362d395aeab1d1aeaa934d91ca0e8d0655cedda56543024f7b1809f61

Observation f573ab5b-3598-4a1f-ad1b-cd2e48476be8 · outbound

This paper cites 2026 , eprint=.

The Keyl-Werner algorithm is not optimal for spectrum estimation 2026 , eprint=

Reference 9

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source=arxiv_source observed=2026-07-30T13:05:58.056891Z digest=sha256:3d74dcd3d5416218cd8c80472a1db9d548f56fbd78458c80c50e77b96a4fad2e

Observation e98a7fc8-e927-4d5f-9221-ee4fc7455825 · outbound

This paper cites On active and passive testing , volume =.

The Keyl-Werner algorithm is not optimal for spectrum estimation On active and passive testing , volume =

Reference 10

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source=arxiv_source observed=2026-07-30T13:05:58.158111Z digest=sha256:7010c22e5aecccf6b53b68aaefe4bc5aff6e1032b812bc34c6c8891cb608fa20

Observation ed391269-5932-443b-9938-8288e623eae4 · outbound

This paper cites Strong random unitaries and fast scrambling , year =.

The Keyl-Werner algorithm is not optimal for spectrum estimation Strong random unitaries and fast scrambling , year =

Reference 11

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source=arxiv_source observed=2026-07-30T13:05:58.321011Z digest=sha256:15580ed1cf8d1b0cf9846bfda8e1fa3cc1b5a8eefa0d7b895f009dbc376d2a5c

Observation 6caa8b4e-59b3-4e2a-b119-71602b4999cc · outbound

This paper cites Inverse-free quantum state estimation with.

The Keyl-Werner algorithm is not optimal for spectrum estimation Inverse-free quantum state estimation with

Reference 12

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source=arxiv_source observed=2026-07-30T13:05:58.419365Z digest=sha256:a2322e4792ab087cb99ee78ae8175f41fb64b23999813f87c7e4988a2d87f248

Observation ac3d4e95-4080-4480-b98f-e637216570ae · outbound

This paper cites A list of complexity bounds for property testing by quantum sample-to-query lifting , year =.

The Keyl-Werner algorithm is not optimal for spectrum estimation A list of complexity bounds for property testing by quantum sample-to-query lifting , year =

Reference 13

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source=arxiv_source observed=2026-07-30T13:05:58.553807Z digest=sha256:cc56bda36839754aeba7e88c120051f81bd9d97898b296d65120166b815f496c

Observation 56a3287f-8815-4ecf-ab07-97f960bc9228 · outbound

This paper cites Towards sample-optimal learning of bosonic Gaussian quantum states , year =.

The Keyl-Werner algorithm is not optimal for spectrum estimation Towards sample-optimal learning of bosonic Gaussian quantum states , year =

Reference 14

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source=arxiv_source observed=2026-07-30T13:05:58.651808Z digest=sha256:4bc43a5252b3bd7fcb07c1ab802e01789c2af243c8b814244bb486d34cd9882c

Observation 11cfc41f-487c-481e-9507-a5abb253c4b7 · outbound

This paper cites Optimal learning of quantum channels in diamond distance , year =.

The Keyl-Werner algorithm is not optimal for spectrum estimation Optimal learning of quantum channels in diamond distance , year =

Reference 15

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source=arxiv_source observed=2026-07-30T13:05:58.798271Z digest=sha256:ee0efe78e77fd6d0aa07aea840938324d2a5e6f1dd5b9fa1db74ce7e2a384716

Observation 36b0c86c-8ef8-4553-853d-72b00d1efb30 · outbound

This paper cites Random dilation superchannel , year =.

The Keyl-Werner algorithm is not optimal for spectrum estimation Random dilation superchannel , year =

Reference 16

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source=arxiv_source observed=2026-07-30T13:05:58.959747Z digest=sha256:8814ad2a65c3c0fee70c7215057047f0cce4c3eab64e87c89e22f7c9caf5e13c

Observation 37a96542-59bd-45a4-b132-27a644d984ab · outbound

This paper cites Random Stinespring superchannel: converting channel queries into dilation isometry queries , year =.

The Keyl-Werner algorithm is not optimal for spectrum estimation Random Stinespring superchannel: converting channel queries into dilation isometry queries , year =

Reference 17

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source=arxiv_source observed=2026-07-30T13:05:59.145770Z digest=sha256:a3a985a6eeb3ca56e5d8dfe51f76375a532e55ac849522e5e363dcb71acf24eb

Observation efbc07b6-9d38-4c7d-8d91-c7cd78178eb1 · outbound

This paper cites Random purification channel for passive.

The Keyl-Werner algorithm is not optimal for spectrum estimation Random purification channel for passive

Reference 18

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source=arxiv_source observed=2026-07-30T13:05:59.291291Z digest=sha256:d6ab1e1c8fbd31cfee7399dd07225666529c953898221bea1b12cf64c1254249

Observation 4913d9e6-1158-4873-842f-8b8d3ed369f5 · outbound

This paper cites A random purification channel for arbitrary symmetries with applications to fermions and bosons , year =.

The Keyl-Werner algorithm is not optimal for spectrum estimation A random purification channel for arbitrary symmetries with applications to fermions and bosons , year =

Reference 19

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source=arxiv_source observed=2026-07-30T13:05:59.377824Z digest=sha256:1746ebd3ea26d3f4fb458323161ac490678ed6fa7ff99eb1c0efa6a1ef134cc0

Observation 9bc72068-55bd-409d-bd91-8e940a391461 · outbound

This paper cites Random purification channel made simple , year =.

The Keyl-Werner algorithm is not optimal for spectrum estimation Random purification channel made simple , year =

Reference 20

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source=arxiv_source observed=2026-07-30T13:05:59.468334Z digest=sha256:b952e61f375cc0f1b94bb152062fc2b7e36bdd8575adb0523e7294d823ab37a7

Observation 8cc481d4-c257-4935-a5f2-6e6a3261812b · outbound

This paper cites Quantum generalizations of the polynomial hierarchy with applications to QMA (2) , volume =.

The Keyl-Werner algorithm is not optimal for spectrum estimation Quantum generalizations of the polynomial hierarchy with applications to QMA (2) , volume =

Reference 21

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source=arxiv_source observed=2026-07-30T13:05:59.551400Z digest=sha256:82ea73c8c284bd137de05b5be75e449f69bdd6f3a1bf291a3c403c651dbf495d

Observation 702111bb-96ef-4b00-8264-80b13bd139f3 · outbound

This paper cites Sequential measurements, disturbance and property testing , year =.

The Keyl-Werner algorithm is not optimal for spectrum estimation Sequential measurements, disturbance and property testing , year =

Reference 22

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source=arxiv_source observed=2026-07-30T13:05:59.636434Z digest=sha256:4c022c9a18b98f72dae1e4b49368898b0b4b26cba5aadbe6e23fae9ec88c0703

Observation 32de1de7-de43-4d8d-a5a7-0f25f56d874b · outbound

This paper cites Quantum algorithms to solve the hidden shift problem for quadratics and for functions of large.

The Keyl-Werner algorithm is not optimal for spectrum estimation Quantum algorithms to solve the hidden shift problem for quadratics and for functions of large

Reference 23

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source=arxiv_source observed=2026-07-30T13:05:59.747820Z digest=sha256:5cd6216e41cf3f193ccc6afe80af322b2510fa721a9ab1001ee61709a7b2d0a0

Observation d714e5d8-18cb-445a-a07c-d16b22d4ee41 · outbound

This paper cites Dimension independent and computationally efficient shadow tomography , year =.

The Keyl-Werner algorithm is not optimal for spectrum estimation Dimension independent and computationally efficient shadow tomography , year =

Reference 24

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source=arxiv_source observed=2026-07-30T13:05:59.838686Z digest=sha256:ccf2639f8ce518ace09cf2d4dc461c8a01b94626ad4819a13081b8305e94a750

Observation 35fa2880-b137-49f0-b231-0a16fbb1e4c5 · outbound

This paper cites Mixed state tomography reduces to pure state tomography , year =.

The Keyl-Werner algorithm is not optimal for spectrum estimation Mixed state tomography reduces to pure state tomography , year =

Reference 25

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source=arxiv_source observed=2026-07-30T13:05:59.934859Z digest=sha256:1cb0b80df5aef3e90279140aa91254198360644ccb22fbb25f3d32987970b8dc

Observation 2c6a35b4-4079-4959-ae50-506175286558 · outbound

This paper cites Optimal algorithms for learning quantum phase states , year =.

The Keyl-Werner algorithm is not optimal for spectrum estimation Optimal algorithms for learning quantum phase states , year =

Reference 26

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source=arxiv_source observed=2026-07-30T13:06:00.049515Z digest=sha256:76cf08b06112aefaf6d315d419699c98900ffd3016fe291ebacdf3242c9b7f67

Observation 732d3c56-599f-4e38-b6e4-0e3bbfa7ce57 · outbound

This paper cites Learning stabilizer states by Bell sampling , year =.

The Keyl-Werner algorithm is not optimal for spectrum estimation Learning stabilizer states by Bell sampling , year =

Reference 27

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source=arxiv_source observed=2026-07-30T13:06:00.234491Z digest=sha256:16c245ff1758d3637e39a0301415204aaa86627abf488e515acf5e6bab61732b

Observation 49050883-b495-49f5-a76f-d5b703a39bd2 · outbound

This paper cites Product testing with single-copy measurements , year =.

The Keyl-Werner algorithm is not optimal for spectrum estimation Product testing with single-copy measurements , year =

Reference 28

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source=arxiv_source observed=2026-07-30T13:06:00.347357Z digest=sha256:88168650772d3f6ecc97a5fe8bd744220ee6bf0881378fc3995aeb5db98d1e39

Observation 076b8c78-fbbb-403e-947d-1b5fac68453c · outbound

This paper cites Exponential separations between learning with and without quantum memory , year =.

The Keyl-Werner algorithm is not optimal for spectrum estimation Exponential separations between learning with and without quantum memory , year =

Reference 29

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source=arxiv_source observed=2026-07-30T13:06:00.467917Z digest=sha256:32b46ddd6ee942f2cd10168dd645d7dcb730bd652f1b85cfa1178d88e212d524

Observation 0cb7d0ed-7ecf-4a32-b8f5-aa57ef2ed8b9 · outbound

This paper cites Approximate orthogonality of permutation operators, with application to quantum information , volume =.

The Keyl-Werner algorithm is not optimal for spectrum estimation Approximate orthogonality of permutation operators, with application to quantum information , volume =

Reference 30

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source=arxiv_source observed=2026-07-30T13:06:00.554834Z digest=sha256:87db7cf161dd8585bc89e8f21cc5514f3cf1b0e390c4c16e0ea7c12f212bc2bd

Observation bd60814e-4351-4e15-9ca0-e30c9761b536 · outbound

This paper cites Local random quantum circuits are approximate polynomial-designs , volume =.

The Keyl-Werner algorithm is not optimal for spectrum estimation Local random quantum circuits are approximate polynomial-designs , volume =

Reference 31

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source=arxiv_source observed=2026-07-30T13:06:00.680579Z digest=sha256:7cee1de6353273fba095a3e9705167a3bee615e22e1579710aa88e33442e5bbf

Observation 84c8c34a-a4b9-4030-a7a6-4d22921cec28 · outbound

This paper cites A Mathematical Introduction to Compressive Sensing , year =.

The Keyl-Werner algorithm is not optimal for spectrum estimation A Mathematical Introduction to Compressive Sensing , year =

Reference 32

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source=arxiv_source observed=2026-07-30T13:06:00.851065Z digest=sha256:99551b0c8b97cec00b5a8938584fa86a36f123b6f44fc65744019bf030380625

Observation cf720c9e-7acf-4895-934a-8e2820fa1887 · outbound

This paper cites Efficient approximate unitary designs from random Pauli rotations , year =.

The Keyl-Werner algorithm is not optimal for spectrum estimation Efficient approximate unitary designs from random Pauli rotations , year =

Reference 33

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source=arxiv_source observed=2026-07-30T13:06:00.947132Z digest=sha256:2d12cd530d278d610eaaa6488d57d50dbad3c78909451d7087815259c0c8bdf5

Observation 913e01a9-7ce6-4d14-9685-b0d57e0ef78a · outbound

This paper cites Explicit orthogonal and unitary designs , year =.

The Keyl-Werner algorithm is not optimal for spectrum estimation Explicit orthogonal and unitary designs , year =

Reference 34

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source=arxiv_source observed=2026-07-30T13:06:01.018087Z digest=sha256:24ffbc5dccbbdf01f7630e3bc6dec86acb8e769e1b4f4f576cc7da8aac1cd4ab

Observation 596dd6b0-d6d5-4007-b0ee-cabe2c33d309 · outbound

This paper cites Local test for unitarily invariant properties of bipartite quantum states , year =.

The Keyl-Werner algorithm is not optimal for spectrum estimation Local test for unitarily invariant properties of bipartite quantum states , year =

Reference 35

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source=arxiv_source observed=2026-07-30T13:06:01.116664Z digest=sha256:a7496941f228a9590408464376b53c5ae49ca77d3e7d4abd258c6424df0354c9

Observation a1b70930-327c-4c84-bcaa-66fa4c7a14b5 · outbound

This paper cites Conjugate queries can help , year =.

The Keyl-Werner algorithm is not optimal for spectrum estimation Conjugate queries can help , year =

Reference 36

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source=arxiv_source observed=2026-07-30T13:06:01.236219Z digest=sha256:c51d3dd4370f747f923393beb1cc1fd96b187b4ff83edde4ac045d1d99208ec6

Observation d413fd07-e6e5-420b-8f6d-436211e08a81 · outbound

This paper cites Bernstein-type bounds for beta distribution , volume =.

The Keyl-Werner algorithm is not optimal for spectrum estimation Bernstein-type bounds for beta distribution , volume =

Reference 37

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source=arxiv_source observed=2026-07-30T13:06:01.273954Z digest=sha256:2646732885739ed379854ff6521b447ec190f46c9b5953a0b8a9db1e9511e158

Observation 449d94ba-5cf8-4643-a4ab-143ca35a2f77 · outbound

This paper cites an unresolved cited work.

The Keyl-Werner algorithm is not optimal for spectrum estimation Unresolved cited work

Reference 38

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source=arxiv_source observed=2026-07-30T13:06:01.357714Z digest=sha256:afea1ce001dbbaf9eaa8ca7c4334cab0f6b1bc7a4b36f70a7b3365eac282ac2c

Observation d3ab31e9-1b3d-4340-b6d7-a35f9226c175 · outbound

This paper cites Randomizing quantum states: Constructions and applications , volume =.

The Keyl-Werner algorithm is not optimal for spectrum estimation Randomizing quantum states: Constructions and applications , volume =

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source=arxiv_source observed=2026-07-30T13:06:01.433905Z digest=sha256:13fcb23f416880620f43d5c8ea809154ba4ee9efcad763db4cbeed3d29a582e0

Observation 6b370ed2-ef2f-4f66-aaae-39e795dfeebb · outbound

This paper cites Upper and lower bounds on quantum codes , year =.

The Keyl-Werner algorithm is not optimal for spectrum estimation Upper and lower bounds on quantum codes , year =

Reference 40

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source=arxiv_source observed=2026-07-30T13:06:01.496816Z digest=sha256:22646cfe6fb79657847756261f17426eb1ce1b576be034d0cd33e37fd2d89b89

Observation 39e4a46f-6a22-41a8-b970-80afa8227d3f · outbound

This paper cites Lecture on quantum error correction , year =.

The Keyl-Werner algorithm is not optimal for spectrum estimation Lecture on quantum error correction , year =

Reference 41

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source=arxiv_source observed=2026-07-30T13:06:01.560063Z digest=sha256:36ec96251a30832f6e01ef010c7151c21a9b71041b1283cf4b4ac49073042656

Observation df453d0f-fb86-40fa-8c30-5712036e0061 · outbound

This paper cites an unresolved cited work.

The Keyl-Werner algorithm is not optimal for spectrum estimation Unresolved cited work

Reference 42

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source=arxiv_source observed=2026-07-30T13:06:01.647900Z digest=sha256:e21db7b2658244d421db9ca37f4dad15c67b0532a84631b74daecf6a51d9b1e4

Observation 2900f6c5-034e-4d49-b252-bcac3f64f241 · outbound

This paper cites Why two qubits are special , volume =.

The Keyl-Werner algorithm is not optimal for spectrum estimation Why two qubits are special , volume =

Reference 43

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source=arxiv_source observed=2026-07-30T13:06:01.746481Z digest=sha256:ecc458707727bad0d862cccaa9604e8c7d0ae133af6d7a033b7b64aa1f1b90ba

Observation 40046d6b-5d35-4c87-b782-fae166b8bd63 · outbound

This paper cites Non-binary unitary error bases and quantum codes , year =.

The Keyl-Werner algorithm is not optimal for spectrum estimation Non-binary unitary error bases and quantum codes , year =

Reference 44

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source=arxiv_source observed=2026-07-30T13:06:01.872170Z digest=sha256:a4e520d5f931db3e1330a24ec3f902855cc75a8c214bddc61304b5d3679a35e7

Observation 196fee42-56fb-49de-9a12-01f3b42ce83c · outbound

This paper cites Rigidity of superdense coding , volume =.

The Keyl-Werner algorithm is not optimal for spectrum estimation Rigidity of superdense coding , volume =

Reference 45

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source=arxiv_source observed=2026-07-30T13:06:02.057593Z digest=sha256:145bd96093625f7d688ccc22bd35ecb487cb0519176f5047d85349b46257b9dc

Observation df0984d6-3027-45b0-ac89-e00933869f4a · outbound

This paper cites All teleportation and dense coding schemes , volume =.

The Keyl-Werner algorithm is not optimal for spectrum estimation All teleportation and dense coding schemes , volume =

Reference 46

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source=arxiv_source observed=2026-07-30T13:06:02.156503Z digest=sha256:826e5c47a849395488d1f5eaf02a6f3cda8ebf183f8877a54b6814b7f7d3fab9

Observation b51a0caa-1149-49f1-ab70-94a4e27e7324 · outbound

This paper cites No more perfect codes: classification of perfect quantum codes , year =.

The Keyl-Werner algorithm is not optimal for spectrum estimation No more perfect codes: classification of perfect quantum codes , year =

Reference 47

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source=arxiv_source observed=2026-07-30T13:06:02.359850Z digest=sha256:2dd8e92bac69d94e19cfe58fe0938896ba6da081273bb59b42362fee7925d281

Observation 4325db87-077c-476a-82fc-e7c600cba7ed · outbound

This paper cites an unresolved cited work.

The Keyl-Werner algorithm is not optimal for spectrum estimation Unresolved cited work

Reference 48

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source=arxiv_source observed=2026-07-30T13:06:02.571717Z digest=sha256:0c1c45d479f1c22d7c785c746162f21db697b9792d190bca0c96ab54534aff97

Observation dd4713ad-b506-4fcc-b6c1-2a34a820706e · outbound

This paper cites Are controlled unitaries helpful? , year =.

The Keyl-Werner algorithm is not optimal for spectrum estimation Are controlled unitaries helpful? , year =

Reference 49

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source=arxiv_source observed=2026-07-30T13:06:02.702188Z digest=sha256:712fcaada5a8f9a287c6a44265bc4a0b72fbb147f5674ae44bdeee9c2fc3d313

Observation ba358b44-55dd-451e-89e9-c5fab498f588 · outbound

This paper cites Amplitude amplification and estimation require inverses , year =.

The Keyl-Werner algorithm is not optimal for spectrum estimation Amplitude amplification and estimation require inverses , year =

Reference 50

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source=arxiv_source observed=2026-07-30T13:06:02.858075Z digest=sha256:00850e9f86ae93a71f4e6c5eba605670b3e3fc029ed63f26bbab5dc7026f4095

Observation b8eb0314-9107-46a9-88e4-901d1fa0683e · outbound

This paper cites The state hidden subgroup problem and an efficient algorithm for locating unentanglement , year =.

The Keyl-Werner algorithm is not optimal for spectrum estimation The state hidden subgroup problem and an efficient algorithm for locating unentanglement , year =

Reference 51

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source=arxiv_source observed=2026-07-30T13:06:02.916440Z digest=sha256:831cbb258118615302af9fc30f63057f4142daccee9c0fd0c07955b6ef7cc931

Observation b33341b7-78c4-4b1a-9c6f-41fe86e615ea · outbound

This paper cites A quantum algorithm for the quantum.

The Keyl-Werner algorithm is not optimal for spectrum estimation A quantum algorithm for the quantum

Reference 52

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source=arxiv_source observed=2026-07-30T13:06:02.971129Z digest=sha256:2944cff0463169dbe0d261676884c5bb93c28a967afa1281b20043449d6103d9

Observation d3e1668d-8759-4545-96ea-bc790db5fba3 · outbound

This paper cites Instance-Optimal Quantum State Certification with Entangled Measurements , year =.

The Keyl-Werner algorithm is not optimal for spectrum estimation Instance-Optimal Quantum State Certification with Entangled Measurements , year =

Reference 53

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source=arxiv_source observed=2026-07-30T13:06:03.070161Z digest=sha256:be72ab7ea437be5b540a631bb74bbcc0a4f4158260bbb029461a3710216098c7

Observation 7ac7c0c2-8b34-46a4-8a0a-144f6492c122 · outbound

This paper cites Personal communication , year =.

The Keyl-Werner algorithm is not optimal for spectrum estimation Personal communication , year =

Reference 54

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source=arxiv_source observed=2026-07-30T13:06:03.133414Z digest=sha256:f5f73ff39f6678ebbb9b8b9cb5694c0551860545f9603acb92d21415ff7b6537

Observation 1c2c4ee3-d54d-4c07-b37e-fa786b0c7112 · outbound

This paper cites Tight Bound for Quantum Unitary Time-Reversal , year =.

The Keyl-Werner algorithm is not optimal for spectrum estimation Tight Bound for Quantum Unitary Time-Reversal , year =

Reference 55

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source=arxiv_source observed=2026-07-30T13:06:03.209648Z digest=sha256:4b723569f7bf2d9ec6772740fb2ee42f094fb5b4f5a2dd93c452e4709df97a74

Observation ab62c1ce-5a47-4287-8016-dac48572e292 · outbound

This paper cites Quantum majority vote , year =.

The Keyl-Werner algorithm is not optimal for spectrum estimation Quantum majority vote , year =

Reference 56

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source=arxiv_source observed=2026-07-30T13:06:03.259211Z digest=sha256:70f70eff40355439bf99174409076587530dd90af4185cfbc780782e1d0fe941

Observation ebc36478-85cc-4144-beb8-cdd200c6bf5d · outbound

This paper cites Optimal quantum purity amplification , year =.

The Keyl-Werner algorithm is not optimal for spectrum estimation Optimal quantum purity amplification , year =

Reference 57

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source=arxiv_source observed=2026-07-30T13:06:03.311662Z digest=sha256:51beba932be119fc5bbd93e4d400d2e3d06730065bcd780489a7052aaaf09b82

Observation 22b14220-ba5d-4863-aad1-30936b266932 · outbound

This paper cites Gelfand-.

The Keyl-Werner algorithm is not optimal for spectrum estimation Gelfand-

Reference 58

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source=arxiv_source observed=2026-07-30T13:06:03.370383Z digest=sha256:a55f8414bd3ff1f0fbe9029512eaeab848be686ccac3b1bf7e0a8e7089be0da2

Observation 6ab15ec4-24d2-4e92-b00b-2cc0e8eb40f4 · outbound

This paper cites The mixed.

The Keyl-Werner algorithm is not optimal for spectrum estimation The mixed

Reference 59

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source=arxiv_source observed=2026-07-30T13:06:03.472446Z digest=sha256:295b50d9dd0b20b4f9b4fc5b625125acf17db99d42f45c0151703e8401b398ce

Observation d0d411e3-6680-414d-986a-234c499f4c3d · outbound

This paper cites Singleton bounds for entanglement-assisted classical and quantum error correcting codes , volume =.

The Keyl-Werner algorithm is not optimal for spectrum estimation Singleton bounds for entanglement-assisted classical and quantum error correcting codes , volume =

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source=arxiv_source observed=2026-07-30T13:06:03.594124Z digest=sha256:ea9a94e64bc406bb0edcd78423cce26554c8a8160eb2cde2b8fc52cd5470eab5

Observation e9b2f9f6-8ffd-455b-83b7-2d5a601d19dd · outbound

This paper cites Pauli manipulation detection codes and applications to quantum communication over adversarial channels , year =.

The Keyl-Werner algorithm is not optimal for spectrum estimation Pauli manipulation detection codes and applications to quantum communication over adversarial channels , year =

Reference 61

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source=arxiv_source observed=2026-07-30T13:06:03.726237Z digest=sha256:596c30a4d05f2964598e6b10cab76cb479ea285653f08238364f337d1296bd48

Observation dba0b2cd-cb17-4abb-9116-e66ee2e22b56 · outbound

This paper cites How to generate random matrices from the classical compact groups , volume =.

The Keyl-Werner algorithm is not optimal for spectrum estimation How to generate random matrices from the classical compact groups , volume =

Reference 62

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source=arxiv_source observed=2026-07-30T13:06:03.774876Z digest=sha256:771d3f570c53222bc44ad3abe8b8243d23c281d217980da751b6ed41601ab431

Observation bf44f2bf-4705-42f6-9711-03bbe1fa98b1 · outbound

This paper cites Query-optimal estimation of unitary channels in diamond distance , year =.

The Keyl-Werner algorithm is not optimal for spectrum estimation Query-optimal estimation of unitary channels in diamond distance , year =

Reference 63

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source=arxiv_source observed=2026-07-30T13:06:03.908943Z digest=sha256:401a2101df5bdc03f4e98d1885c435126643f5e57f625478054d3886e979aece

Observation 6981f4c2-c0c6-4536-8485-1c069dbdc8c1 · outbound

This paper cites Black holes as mirrors: quantum information in random subsystems , volume =.

The Keyl-Werner algorithm is not optimal for spectrum estimation Black holes as mirrors: quantum information in random subsystems , volume =

Reference 64

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source=arxiv_source observed=2026-07-30T13:06:04.006517Z digest=sha256:28256187eb1492bdc5b3bb9a80b4b4b9d1aa48a3586942b3329765cfc77e56ad

Observation 917ef190-719d-426a-90a9-c3bf599cca18 · outbound

This paper cites On the list decodability of random linear codes with large error rates , year =.

The Keyl-Werner algorithm is not optimal for spectrum estimation On the list decodability of random linear codes with large error rates , year =

Reference 65

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source=arxiv_source observed=2026-07-30T13:06:04.040347Z digest=sha256:44051ab61895b8c54e5496f9f147d9eb4770373f90cc1578f803a363a3a0a628

Observation addc4373-e2f4-4781-8750-6233089cee43 · outbound

This paper cites A mathematical theory of communication , volume =.

The Keyl-Werner algorithm is not optimal for spectrum estimation A mathematical theory of communication , volume =

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source=arxiv_source observed=2026-07-30T13:06:04.079631Z digest=sha256:c070a46485838cc90048529c66094130fd462c69a41d66acb1b099d057ecc594

Observation 06369322-c5aa-4d3c-af67-63f4b58bb6a0 · outbound

This paper cites Algebraic geometry codes , volume =.

The Keyl-Werner algorithm is not optimal for spectrum estimation Algebraic geometry codes , volume =

Reference 67

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source=arxiv_source observed=2026-07-30T13:06:04.120193Z digest=sha256:e641fbe9b0ca3fb5821e96160b738f0bf85c6cbfbe4a0a52e9a988125632c46f

Observation a0ca8f35-8a5b-49fa-a3e7-f0cf7ef25c67 · outbound

This paper cites Modular curves,.

The Keyl-Werner algorithm is not optimal for spectrum estimation Modular curves,

Reference 68

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source=arxiv_source observed=2026-07-30T13:06:04.222927Z digest=sha256:921aaaa3fec402d3b086da2f750f716291ca372537bd0ff19472307753ebd562

Observation 31fa73b2-8db0-4e0d-9efb-901efa8a7cb9 · outbound

This paper cites Essential coding theory , year =.

The Keyl-Werner algorithm is not optimal for spectrum estimation Essential coding theory , year =

Reference 69

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source=arxiv_source observed=2026-07-30T13:06:04.286497Z digest=sha256:901652262434da6b1f8618278eaf3b65886008fc924702e867622171c8ce98fb

Observation 5f51ec48-3533-4673-8d2d-dd7ffbfad3d5 · outbound

This paper cites Estimate of the number of signals in error correcting codes , volume =.

The Keyl-Werner algorithm is not optimal for spectrum estimation Estimate of the number of signals in error correcting codes , volume =

Reference 70

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source=arxiv_source observed=2026-07-30T13:06:04.344502Z digest=sha256:ffc5112c305ba1b9ca222bb5cd49326dd7b156c3642416dad3262fa2173f53f4

Observation 48850560-3fe3-42cf-8842-94ffe9d8d85f · outbound

This paper cites Approaching the quantum singleton bound with approximate error correction , year =.

The Keyl-Werner algorithm is not optimal for spectrum estimation Approaching the quantum singleton bound with approximate error correction , year =

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source=arxiv_source observed=2026-07-30T13:06:04.384762Z digest=sha256:3930e558da1e4a496ef9e4944833530943039bdbbf54a31b12755a7e0b0b42d7

Observation c53bead9-785a-45db-b4df-3d3360a7471d · outbound

This paper cites Approximate quantum error-correcting codes and secret sharing schemes , year =.

The Keyl-Werner algorithm is not optimal for spectrum estimation Approximate quantum error-correcting codes and secret sharing schemes , year =

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source=arxiv_source observed=2026-07-30T13:06:04.529700Z digest=sha256:7f3fcc19dadf0c4296d7773fbac0da56caced2ffdfbd15ab8202c1b7afcf1758

Observation 804bba4a-0f87-4937-8e9a-f2bb7fc31949 · outbound

This paper cites Approximate quantum error correction can lead to better codes , volume =.

The Keyl-Werner algorithm is not optimal for spectrum estimation Approximate quantum error correction can lead to better codes , volume =

Reference 73

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source=arxiv_source observed=2026-07-30T13:06:04.654735Z digest=sha256:cee8bd5ad6ceb171b317462edb60895c35a0fb4bb62d5f36b1c6b0fec90f8a7c

Observation 8d201991-7d6d-4a04-a69c-1999db229355 · outbound

This paper cites A Survey of Quantum Property Testing , year =.

The Keyl-Werner algorithm is not optimal for spectrum estimation A Survey of Quantum Property Testing , year =

Reference 74

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source=arxiv_source observed=2026-07-30T13:06:04.697116Z digest=sha256:3fa48196d4ac2f09f521a775eeb389542d9f6e1b4f4b99ab4bdec910af62c5ca

Observation d6775122-947b-4356-86d0-1a3ef1e2f812 · outbound

This paper cites Multi-parameter estimation beyond quantum Fisher information , volume =.

The Keyl-Werner algorithm is not optimal for spectrum estimation Multi-parameter estimation beyond quantum Fisher information , volume =

Reference 75

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source=arxiv_source observed=2026-07-30T13:06:04.760198Z digest=sha256:825b52b455524695edd1926ebe7b5386efa7ad4b6221bfdf57ab913eed9ab65d

Observation 38a70f26-6418-4b4a-a627-685a215ecfe6 · outbound

This paper cites On quantumness in multi-parameter quantum estimation , volume =.

The Keyl-Werner algorithm is not optimal for spectrum estimation On quantumness in multi-parameter quantum estimation , volume =

Reference 76

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source=arxiv_source observed=2026-07-30T13:06:04.804741Z digest=sha256:f1953f0349deaaa5ae4a1a0f1500dcde1885a185cfc1901e66e6ea9c881b83e9

Observation 599bf636-edf7-4be0-a0c1-6c104f6e07e4 · outbound

This paper cites Upper bounds on the Holevo Cram 'er-Rao bound for multiparameter quantum parametric and semiparametric estimation , year =.

The Keyl-Werner algorithm is not optimal for spectrum estimation Upper bounds on the Holevo Cram 'er-Rao bound for multiparameter quantum parametric and semiparametric estimation , year =

Reference 77

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source=arxiv_source observed=2026-07-30T13:06:04.880983Z digest=sha256:2fd214306d4759e7515c88b63e4f1c2588c2355b88f9b42de6febaaa0315306a

Observation 44283f40-387b-4c36-a5f4-88a9cc6b61e4 · outbound

This paper cites A new approach to the.

The Keyl-Werner algorithm is not optimal for spectrum estimation A new approach to the

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source=arxiv_source observed=2026-07-30T13:06:04.962551Z digest=sha256:b03761608909e1f3b629c843493b4b180d1c11e0f88aeda66465398af2c0c2d5

Observation 9c2e8107-ed5b-491f-800e-72a1e168ea29 · outbound

This paper cites Attaining the ultimate precision limit in quantum state estimation , volume =.

The Keyl-Werner algorithm is not optimal for spectrum estimation Attaining the ultimate precision limit in quantum state estimation , volume =

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source=arxiv_source observed=2026-07-30T13:06:05.017476Z digest=sha256:5c2fc4207e73f0acefe64c6872b97d5ef36453750b6f06dbbeef6cae7013920a

Observation a0fd0fb8-2bbd-4732-bbef-5a77b71ad527 · outbound

This paper cites Quantum local asymptotic normality based on a new quantum likelihood ratio , volume =.

The Keyl-Werner algorithm is not optimal for spectrum estimation Quantum local asymptotic normality based on a new quantum likelihood ratio , volume =

Reference 80

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source=arxiv_source observed=2026-07-30T13:06:05.116875Z digest=sha256:0923594e4fa9624f8e6659013d69b7a8abea0b2aa9f4bd6840c4b82093c5b141

Observation d8467d3f-c43a-48e7-bb2e-b4894042371c · outbound

This paper cites Probabilistic and statistical aspects of quantum theory , year =.

The Keyl-Werner algorithm is not optimal for spectrum estimation Probabilistic and statistical aspects of quantum theory , year =

Reference 81

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source=arxiv_source observed=2026-07-30T13:06:05.175665Z digest=sha256:f7a2e3c8800a49fde574d22f3a1910e2e7d3af5bbf32c60d046ca429b90d6e7c

Observation 7bb79759-846a-487c-b60e-cc212e48557e · outbound

This paper cites Statistical distance and the geometry of quantum states , volume =.

The Keyl-Werner algorithm is not optimal for spectrum estimation Statistical distance and the geometry of quantum states , volume =

Reference 82

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source=arxiv_source observed=2026-07-30T13:06:05.279647Z digest=sha256:85f8d7f6431718f143a7f0c1c4b285289dbf4b7e97ddea269bf5d68e35ca7726

Observation 7aceb1e3-a583-4f2c-8e1e-39805f79a200 · outbound

This paper cites Minimum mean-squared error of estimates in quantum statistics , volume =.

The Keyl-Werner algorithm is not optimal for spectrum estimation Minimum mean-squared error of estimates in quantum statistics , volume =

Reference 83

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source=arxiv_source observed=2026-07-30T13:06:05.414828Z digest=sha256:9305e1025bff2f7165ccfa2eba796292a7583222dfed6e5ff55d00667ac5d651

Observation 312f14bf-1adf-4287-bf71-91a50c222626 · outbound

This paper cites Randomized measurements for multi-parameter quantum metrology , year =.

The Keyl-Werner algorithm is not optimal for spectrum estimation Randomized measurements for multi-parameter quantum metrology , year =

Reference 84

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source=arxiv_source observed=2026-07-30T13:06:05.464739Z digest=sha256:6044cf6ed718464b3d15c885e4ef8ddfe14a0e84d57ced8a2ef555f7d4232d42

Observation 81503bf9-7c01-48ed-86e5-1133f5ce00db · outbound

This paper cites Technical report, arXiv:0502408 , title =.

The Keyl-Werner algorithm is not optimal for spectrum estimation Technical report, arXiv:0502408 , title =

Reference 85

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source=arxiv_source observed=2026-07-30T13:06:05.564038Z digest=sha256:267bb98b77b48c9f4f6becc1be49cd37b1756ea60171c5a99d7f8181813f4136

Observation fbced7ef-2958-4544-9aa6-6a3faec0fb64 · outbound

This paper cites Personal communication , year =.

The Keyl-Werner algorithm is not optimal for spectrum estimation Personal communication , year =

Reference 86

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source=arxiv_source observed=2026-07-30T13:06:05.642742Z digest=sha256:aab7d492b5f94ae99185b9b40ce2605442b93f87b62f7278435e8778be4f9fd6

Observation 9099758f-54fb-489a-9cd8-6e71721ff853 · outbound

This paper cites Quantum detection and estimation theory , volume =.

The Keyl-Werner algorithm is not optimal for spectrum estimation Quantum detection and estimation theory , volume =

Reference 87

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source=arxiv_source observed=2026-07-30T13:06:05.739846Z digest=sha256:1576d159021b678f69eb318542b734bb5276a242c18e4d758449c18083042caa

Observation acc98061-08b6-49f8-9126-59b7ed8f6a60 · outbound

This paper cites Representation of.

The Keyl-Werner algorithm is not optimal for spectrum estimation Representation of

Reference 88

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source=arxiv_source observed=2026-07-30T13:06:05.800038Z digest=sha256:5b1c5235ac5f7e80884b708fc6cadfefada88dfe0e98fa02e0a10690f3dd43a3

Observation 94c026a1-960b-4bbb-a3f9-2a49597caff3 · outbound

This paper cites Coding theorem and strong converse for quantum channels , volume =.

The Keyl-Werner algorithm is not optimal for spectrum estimation Coding theorem and strong converse for quantum channels , volume =

Reference 89

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source=arxiv_source observed=2026-07-30T13:06:05.910056Z digest=sha256:ed4bb703f877034420da0b70aaceb278b590527710962a0ae47f65a2086a3fa6

Observation 09e024ad-893e-488a-b218-955689832371 · outbound

This paper cites A memory and gate efficient algorithm for unitary mixed Schur sampling.

The Keyl-Werner algorithm is not optimal for spectrum estimation A memory and gate efficient algorithm for unitary mixed Schur sampling

Reference 90

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source=arxiv_source observed=2026-07-30T13:06:05.992272Z digest=sha256:07c0749a591e46da11178a9777b1a482983324d7281326d0e7617206a9d6e812

Observation 96f6d79b-292c-4dbc-b23c-db1e88928b13 · outbound

This paper cites Aspects of generic entanglement , volume =.

The Keyl-Werner algorithm is not optimal for spectrum estimation Aspects of generic entanglement , volume =

Reference 91

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source=arxiv_source observed=2026-07-30T13:06:06.100930Z digest=sha256:65f4e8db9e9c74ce4d6328effe3e615b0678e8c032e9fccae0211bff5731da6e

Observation 504d1d22-7172-4ac1-94d3-ef71941467ff · outbound

This paper cites Introduction to.

The Keyl-Werner algorithm is not optimal for spectrum estimation Introduction to

Reference 92

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source=arxiv_source observed=2026-07-30T13:06:06.175022Z digest=sha256:25461e221a34648a8ec2e1372207152049464e7bbbadd7996fe683fee7f4b257

Observation 101c590d-fd54-4af2-967c-949e28fb1e60 · outbound

This paper cites an unresolved cited work.

The Keyl-Werner algorithm is not optimal for spectrum estimation Unresolved cited work

Reference 93

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source=arxiv_source observed=2026-07-30T13:06:06.251134Z digest=sha256:14073997222d63a808660b025c5c04d75d53b53c2c547caf7c68bd669ef787f6

Observation a031b9c1-df43-4fc1-938d-32ad2156e827 · outbound

This paper cites Asymptotic error rates in quantum hypothesis testing , volume =.

The Keyl-Werner algorithm is not optimal for spectrum estimation Asymptotic error rates in quantum hypothesis testing , volume =

Reference 94

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source=arxiv_source observed=2026-07-30T13:06:06.336197Z digest=sha256:3eff665fafb300f52faba32bf7346602704b9ed5d991141259686c94c33d4f11

Observation 755859fa-57dc-4292-b726-d8f64568ffa6 · outbound

This paper cites A new approach to the representation theory of the symmetric groups.

The Keyl-Werner algorithm is not optimal for spectrum estimation A new approach to the representation theory of the symmetric groups

Reference 95

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source=arxiv_source observed=2026-07-30T13:06:06.459666Z digest=sha256:4eabdb658b51c86e3d05839e3f5988943c13da3da98d1fd3195dbe985561c9e8

Observation 07da37ee-3c69-4bf5-a139-0a291e06bf8a · outbound

This paper cites Optimal lower bounds for quantum state tomography , year =.

The Keyl-Werner algorithm is not optimal for spectrum estimation Optimal lower bounds for quantum state tomography , year =

Reference 96

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source=arxiv_source observed=2026-07-30T13:06:06.617431Z digest=sha256:8873f4e9e64ba84df3b3db899c9190c8baeb43ccc0d6b865eb76123c6bbe729d

Observation 404f6278-63c1-472e-82c6-4864124702e8 · outbound

This paper cites Beating full state tomography for unentangled spectrum estimation.

The Keyl-Werner algorithm is not optimal for spectrum estimation Beating full state tomography for unentangled spectrum estimation

Reference 97

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source=arxiv_source observed=2026-07-30T13:06:06.766870Z digest=sha256:bea381e7d186965580da60e9cec82068d3e2d834beca45475458b56490eaf665

Observation ddf55ef6-8856-4d26-84f6-52132b5c909c · outbound

This paper cites The debiased.

The Keyl-Werner algorithm is not optimal for spectrum estimation The debiased

Reference 98

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source=arxiv_source observed=2026-07-30T13:06:06.864043Z digest=sha256:def66bd57d1011d8af29632abda6a6ac46a741429cec420e53fb9377433d36ca

Observation cf2c15a1-bf48-4706-9abe-5d63a67ad229 · outbound

This paper cites An improved sample complexity lower bound for (fidelity) quantum state tomography , volume =.

The Keyl-Werner algorithm is not optimal for spectrum estimation An improved sample complexity lower bound for (fidelity) quantum state tomography , volume =

Reference 99

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source=arxiv_source observed=2026-07-30T13:06:06.948067Z digest=sha256:ec9949ef9a84c543987e99253512081bb22cfa9489214ab2dd7b94c102c73561

Observation 2a7bfe39-8856-4edf-a03e-6514d87414ea · outbound

This paper cites Thrifty shadow estimation: Reusing quantum circuits and bounding tails , volume =.

The Keyl-Werner algorithm is not optimal for spectrum estimation Thrifty shadow estimation: Reusing quantum circuits and bounding tails , volume =

Reference 100

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source=arxiv_source observed=2026-07-30T13:06:07.024090Z digest=sha256:c2067b88b880769697e3900b90feb14418208d46e2962a90b0b1169e6b0fb02f

Pith citing papers

Observation cbd88732-d7ef-49b3-94d0-13edb3256b76 · inbound

Spectrum Estimation is Almost as Hard as Tomography cites this paper.

Spectrum Estimation is Almost as Hard as Tomography The Keyl-Werner algorithm is not optimal for spectrum estimation

Reference 40

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source=arxiv_source observed=2026-08-03T02:13:26.709206Z digest=sha256:e7964ced2bba89f1a19e5182c2ecdc1afc4878576b6b8b1b0b27abb50b5a8445

Observation 489f8f65-4500-47aa-b28e-e8329b6a54e9 · inbound

The Sample Complexity of Fidelity Estimation to a Known Rank-$r$ Reference State Is $\widetilde{\Theta}(r^2/\varepsilon^2)$ cites this paper.

The Sample Complexity of Fidelity Estimation to a Known Rank-$r$ Reference State Is $\widetilde{\Theta}(r^2/\varepsilon^2)$ The Keyl-Werner algorithm is not optimal for spectrum estimation

Reference 5

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local_arxiv, observed 2026-08-04T21:32:32.440759Z

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source=pdf_text observed=2026-08-04T21:32:31.124235Z digest=sha256:24e8f512c803b1fe05cf58faddfc03a0f4fd772e2085ee9dfb16cdc9cbc21cad