pith. sign in

arxiv: 2404.10214 · v3 · submitted 2024-04-16 · 🪐 quant-ph

Simulating Chemistry on Bosonic Quantum Devices

Rishab Dutta , Delmar G. A. Cabral , Ningyi Lyu , Nam P. Vu , Yuchen Wang , Brandon Allen , Xiaohan Dan , Rodrigo G. Corti\~nas
show 18 more authors
Pouya Khazaei Max Sch\"afer Alejandro C. C. d. Albornoz Scott E. Smart Scott Nie Michel H. Devoret David A. Mazziotti Prineha Narang Chen Wang James D. Whitfield Angela K. Wilson Heidi P. Hendrickson Daniel A. Lidar Francisco P\'erez-Bernal Lea F. Santos Sabre Kais Eitan Geva Victor S. Batista
This is my paper

Pith reviewed 2026-05-24 02:30 UTC · model grok-4.3

classification 🪐 quant-ph
keywords bosonic quantum devicesquantum simulationqumodesvibronic spectrachemical dynamicselectronic structuremolecular Hamiltonians
0
0 comments X

The pith

Bosonic quantum devices simulate chemistry by mapping molecular Hamiltonians to operators on quantum harmonic oscillators.

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The paper reviews how bosonic quantum devices replace the qubit with the quantum harmonic oscillator, or qumode, as the basic hardware unit. Chemical problems are addressed by expressing the relevant Hamiltonians directly in terms of bosonic creation and annihilation operators. This route is examined for calculating molecular vibronic spectra, simulating gas- and solution-phase adiabatic and nonadiabatic dynamics, solving molecular graph problems, and performing electronic structure calculations. A sympathetic reader would care because the approach may align more naturally with the vibrational and bosonic character of molecular systems than qubit-based encodings.

Core claim

Bosonic quantum devices offer a novel approach to realize quantum computations for chemistry, where the quantum two-level system is replaced with the quantum (an)harmonic oscillator as the fundamental building block; simulation of chemical structure and dynamics is then achieved by representing or mapping the system Hamiltonians in terms of bosonic operators.

What carries the argument

The quantum (an)harmonic oscillator (qumode) as the basic computational unit, with molecular Hamiltonians mapped to bosonic operators.

If this is right

  • Molecular vibronic spectra can be calculated by direct bosonic-operator mappings.
  • Adiabatic and nonadiabatic chemical dynamics in gas and solution phases become simulable.
  • Molecular graph-theory problems admit efficient solutions on the same hardware.
  • Electronic-structure calculations can be performed via the same bosonic representation.

Where Pith is reading between the lines

These are editorial extensions of the paper, not claims the author makes directly.

  • Bosonic encodings may reduce the overhead of representing vibrational degrees of freedom compared with qubit mappings.
  • Hybrid qubit-qumode architectures could combine the strengths of both for mixed electronic-vibrational problems.
  • Progress in qumode coherence times would translate directly into larger accessible molecular systems.

Load-bearing premise

Recent experimental progress on bosonic devices can be extended to the scale and fidelity needed for the listed chemical applications without fundamental hardware barriers.

What would settle it

A controlled demonstration that error rates on current bosonic hardware prevent accurate reproduction of the vibronic spectrum of a small molecule such as water or formaldehyde at chemically useful precision.

Figures

Figures reproduced from arXiv: 2404.10214 by Alejandro C. C. d. Albornoz, Angela K. Wilson, Brandon Allen, Chen Wang, Daniel A. Lidar, David A. Mazziotti, Delmar G. A. Cabral, Eitan Geva, Francisco P\'erez-Bernal, Heidi P. Hendrickson, James D. Whitfield, Lea F. Santos, Max Sch\"afer, Michel H. Devoret, Nam P. Vu, Ningyi Lyu, Pouya Khazaei, Prineha Narang, Rishab Dutta, Rodrigo G. Corti\~nas, Sabre Kais, Scott E. Smart, Scott Nie, Victor S. Batista, Xiaohan Dan, Yuchen Wang.

Figure 1
Figure 1. Figure 1: Comparisons between classical bits and quantum information as represented by [PITH_FULL_IMAGE:figures/full_fig_p004_1.png] view at source ↗
Figure 2
Figure 2. Figure 2: Schematic of the superconducting bosonic device setup for simulating the vibration [PITH_FULL_IMAGE:figures/full_fig_p009_2.png] view at source ↗
Figure 3
Figure 3. Figure 3: Vibronic spectra for the photoionization of water to the ( [PITH_FULL_IMAGE:figures/full_fig_p010_3.png] view at source ↗
Figure 4
Figure 4. Figure 4: Left: Excitation energies of the Hamiltonian in Eq. ( [PITH_FULL_IMAGE:figures/full_fig_p013_4.png] view at source ↗
Figure 5
Figure 5. Figure 5: Schematic for seven chromophores in Fenna–Matthews–Olson (FMO) complex, [PITH_FULL_IMAGE:figures/full_fig_p014_5.png] view at source ↗
Figure 6
Figure 6. Figure 6: A schematic protocol for simulating energy transfer in the FMO 4-site model in [PITH_FULL_IMAGE:figures/full_fig_p016_6.png] view at source ↗
Figure 7
Figure 7. Figure 7: Comparison between SNAIL simulations with the benchmark data for the popu [PITH_FULL_IMAGE:figures/full_fig_p017_7.png] view at source ↗
Figure 8
Figure 8. Figure 8: The correspondence between the bosonic cQED platform device and the chemical [PITH_FULL_IMAGE:figures/full_fig_p018_8.png] view at source ↗
Figure 9
Figure 9. Figure 9: Two-state, two-dimensional potential energy surface that describes photoinduced [PITH_FULL_IMAGE:figures/full_fig_p020_9.png] view at source ↗
Figure 10
Figure 10. Figure 10: A proposed cQED circuit for the simulation of a conical intersection between [PITH_FULL_IMAGE:figures/full_fig_p021_10.png] view at source ↗
Figure 11
Figure 11. Figure 11: Molecular substructure search of compounds that contain the query structure. [PITH_FULL_IMAGE:figures/full_fig_p023_11.png] view at source ↗
Figure 12
Figure 12. Figure 12: A schematic of how the electronic states of H [PITH_FULL_IMAGE:figures/full_fig_p025_12.png] view at source ↗
Figure 13
Figure 13. Figure 13: A) First half of the qudit QPE and the explicit states of the first register qudits [PITH_FULL_IMAGE:figures/full_fig_p027_13.png] view at source ↗
read the original abstract

Bosonic quantum devices offer a novel approach to realize quantum computations, where the quantum two-level system (qubit) is replaced with the quantum (an)harmonic oscillator (qumode) as the fundamental building block of the quantum simulator. The simulation of chemical structure and dynamics can then be achieved by representing or mapping the system Hamiltonians in terms of bosonic operators. In this perspective, we review recent progress and future potential of using bosonic quantum devices for addressing a wide range of challenging chemical problems, including the calculation of molecular vibronic spectra, the simulation of gas-phase and solution-phase adiabatic and nonadiabatic chemical dynamics, the efficient solution of molecular graph theory problems, and the calculations of electronic structure.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

0 major / 3 minor

Summary. This perspective reviews mappings of chemical Hamiltonians to bosonic operators on quantum devices that use qumodes (anharmonic oscillators) in place of qubits. It surveys recent progress and outlines potential applications to molecular vibronic spectra, gas- and solution-phase adiabatic/nonadiabatic dynamics, molecular graph-theory problems, and electronic-structure calculations.

Significance. If the reviewed mappings are accurate and the hardware trajectory continues, the work identifies a distinct continuous-variable route to quantum chemistry simulation that may represent certain vibrational and photonic degrees of freedom more compactly than qubit encodings. The synthesis of external experimental and theoretical results is a useful service to the community.

minor comments (3)
  1. [Introduction] The abstract and introduction list four application areas; each should be explicitly cross-referenced to the corresponding subsection so readers can locate the supporting mappings and cited experiments without searching.
  2. When discussing experimental progress with bosonic devices, include a short table or paragraph that tabulates reported gate fidelities, coherence times, and mode counts from the cited works so the gap to the listed chemical applications is quantitatively visible.
  3. Notation for bosonic operators (creation/annihilation, displacement, etc.) should be standardized in a single preliminary section and used consistently thereafter; occasional redefinition of symbols across subsections reduces readability.

Simulated Author's Rebuttal

0 responses · 0 unresolved

We thank the referee for their positive assessment of our perspective on bosonic quantum devices for chemical simulations. The recommendation for minor revision is noted, and we appreciate the recognition of the work's potential utility to the community. No specific major comments were raised in the report.

Circularity Check

0 steps flagged

No significant circularity identified

full rationale

This is a perspective/review paper summarizing external literature on bosonic quantum devices for chemistry. No new derivations, equations, fitted parameters, or primary quantitative claims are advanced. All content refers to cited external work without self-referential reductions or load-bearing self-citations that close a loop. The paper is self-contained against external benchmarks.

Axiom & Free-Parameter Ledger

0 free parameters · 0 axioms · 0 invented entities

Review paper; no new free parameters, axioms, or invented entities are introduced in this manuscript.

pith-pipeline@v0.9.0 · 5775 in / 1099 out tokens · 17189 ms · 2026-05-24T02:30:06.990661+00:00 · methodology

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Characterizing conical intersections of nucleobases on quantum computers

    quant-ph 2024-10 unverdicted novelty 7.0

    First quantum simulation of conical intersections in cytosine via CQE and VQD on a noisy superconducting quantum computer, with accuracy compared to exact diagonalization.

Reference graph

Works this paper leans on

34 extracted references · 34 canonical work pages · cited by 1 Pith paper · 3 internal anchors

  1. [1]

    (1) Feynman, R. P. Feynman and computation ; CRC Press, 2018; pp 133–153. 30 (2) Lidar, D. A.; Wang, H. Calculating the thermal rate constant with exponential speedup on a quantum computer. Phys. Rev. E 1999, 59,

    work page 2018

  2. [2]

    P.; Degroote, M.; Johnson, P

    (3) Cao, Y.; Romero, J.; Olson, J. P.; Degroote, M.; Johnson, P. D.; Kieferov´ a, M.; Kivlichan, I. D.; Menke, T.; Peropadre, B.; Sawaya, N. P. D.; Sim, S.; Veis, L.; Aspuru-Guzik, A. Quantum Chemistry in the Age of Quantum Computing. Chem. Rev. 2019, 119, 10856. (4) Bauer, B.; Bravyi, S.; Motta, M.; Chan, G. K.-L. Quantum algorithms for quantum chemistry...

    work page 2019

  3. [3]

    R.; Economou, S

    (8) Grimsley, H. R.; Economou, S. E.; Barnes, E.; Mayhall, N. J. An adaptive variational algorithm for exact molecular simulations on a quantum computer. Nat. Commun. 2019, 10 . (9) McArdle, S.; Jones, T.; Endo, S.; Li, Y.; Benjamin, S. C.; Yuan, X. Variational ansatz- based quantum simulation of imaginary time evolution. npj Quantum Inf. 2019, 5,

    work page 2019

  4. [4]

    T.; O’Rourke, M

    (10) Motta, M.; Sun, C.; Tan, A. T.; O’Rourke, M. J.; Ye, E.; Minnich, A. J.; Bran- dao, F. G.; Chan, G. K.-L. Determining eigenstates and thermal states on a quantum computer using quantum imaginary time evolution. Nat. Phys. 2020, 16,

    work page 2020

  5. [5]

    E.; Mazziotti, D

    31 (11) Smart, S. E.; Mazziotti, D. A. Quantum solver of contracted eigenvalue equations for scalable molecular simulations on quantum computing devices. Phys. Rev. Lett. 2021, 126, 070504. (12) Kyaw, T. H.; Soley, M. B.; Allen, B.; Bergold, P.; Sun, C.; Batista, V. S.; Aspuru- Guzik, A. Boosting quantum amplitude exponentially in variational quantum algo...

    work page 2021

  6. [6]

    B.; Geva, E.; Batista, V

    (14) Wang, Y.; Mulvihill, E.; Hu, Z.; Lyu, N.; Shivpuje, S.; Liu, Y.; Soley, M. B.; Geva, E.; Batista, V. S.; Kais, S. Simulating open quantum system dynamics on NISQ computers with generalized quantum master equations.J. Chem. Theory Comput. 2023, 19,

    work page 2023

  7. [7]

    Y.; Valadares, F.; Gao, Y

    (15) Copetudo, A.; Fontaine, C. Y.; Valadares, F.; Gao, Y. Y. Shaping photons: quantum computation with bosonic cQED. Appl. Phys. Lett. 2024, 124, 080502. (16) Deleglise, S.; Dotsenko, I.; Sayrin, C.; Bernu, J.; Brune, M.; Raimond, J.-M.; Haroche, S. Reconstruction of non-classical cavity field states with snapshots of their decoherence. Nature 2008, 455,

    work page 2024

  8. [8]

    Determin- istic creation of entangled atom–light Schr¨ odinger-cat states

    (17) Hacker, B.; Welte, S.; Daiss, S.; Shaukat, A.; Ritter, S.; Li, L.; Rempe, G. Determin- istic creation of entangled atom–light Schr¨ odinger-cat states. Nature Photon. 2019, 13,

    work page 2019

  9. [9]

    W.; Ofek, N.; Sliwa, K.; Holland, E.; Wang, C.; Blumoff, J.; Chou, K.; Hatridge, M

    (18) Reagor, M.; Pfaff, W.; Axline, C.; Heeres, R. W.; Ofek, N.; Sliwa, K.; Holland, E.; Wang, C.; Blumoff, J.; Chou, K.; Hatridge, M. J.; Frunzio, L.; Devoret, M. H.; Jiang, L.; Schoelkopf, R. J. Quantum memory with millisecond coherence in circuit QED. Phys. Rev. B 2016, 94, 014506. 32 (19) Bruzewicz, C. D.; Chiaverini, J.; McConnell, R.; Sage, J. M. Tr...

    work page 2016

  10. [10]

    A perspective on hybrid quantum opto- and electromechanical systems

    (22) Chu, Y.; Gr¨ oblacher, S. A perspective on hybrid quantum opto- and electromechanical systems. Appl. Phys. Lett. 2020, 117 . (23) Wang, C. S.; Curtis, J. C.; Lester, B. J.; Zhang, Y.; Gao, Y. Y.; Freeze, J.; Batista, V. S.; Vaccaro, P. H.; Chuang, I. L.; Frunzio, L.; Jiang, L.; Girvin, S. M.; Schoelkopf, R. J. Efficient Multiphoton Sampling of Molecu...

    work page 2020

  11. [11]

    G.; Jung, K.; Wang, Y.; Hu, Z.; Geva, E.; Kais, S.; Batista, V

    (25) Lyu, N.; Miano, A.; Tsioutsios, I.; Corti˜ nas, R. G.; Jung, K.; Wang, Y.; Hu, Z.; Geva, E.; Kais, S.; Batista, V. S. Mapping Molecular Hamiltonians into Hamiltonians of Modular cQED Processors. J. Chem. Theory Comput. 2023, 19,

    work page 2023

  12. [12]

    J.; Ralph, T

    (26) Weedbrook, C.; Pirandola, S.; Garc´ ıa-Patr´ on, R.; Cerf, N. J.; Ralph, T. C.; Shapiro, J. H.; Lloyd, S. Gaussian quantum information. Rev. Mod. Phys. 2012, 84, 621–669. (27) Braunstein, S. L.; Van Loock, P. Quantum information with continuous variables.Rev. Mod. Phys. 2005, 77,

    work page 2012

  13. [13]

    Superconducting Qubits: A Short Review

    33 (28) Stavenger, T. J.; Crane, E.; Smith, K. C.; Kang, C. T.; Girvin, S. M.; Wiebe, N. C2QA-bosonic qiskit. 2022 IEEE High Performance Extreme Computing Conference (HPEC). 2022; pp 1–8. (29) Megrant, A.; Neill, C.; Barends, R.; Chiaro, B.; Chen, Y.; Feigl, L.; Kelly, J.; Lucero, E.; Mariantoni, M.; O’Malley, P. J.; others Planar superconducting resonato...

    work page internal anchor Pith review Pith/arXiv arXiv 2022

  14. [14]

    R.; Clary, D

    (39) Barone, V.; Alessandrini, S.; Biczysko, M.; Cheeseman, J. R.; Clary, D. C.; Mc- Coy, A. B.; DiRisio, R. J.; Neese, F.; Melosso, M.; Puzzarini, C. Computational molecular spectroscopy. Nat. Rev. Methods Primers 2021, 1,

    work page 2021

  15. [15]

    The vibronic structure of electronic absorption spectra of large molecules: a time-dependent density functional study on the influence of “Exact” Hartree–Fock exchange

    (40) Dierksen, M.; Grimme, S. The vibronic structure of electronic absorption spectra of large molecules: a time-dependent density functional study on the influence of “Exact” Hartree–Fock exchange. J. Phys. Chem. A 2004, 108, 10225. (41) Quesada, N. Franck-Condon factors by counting perfect matchings of graphs with loops. J. Chem. Phys. 2019, 150 . (42) ...

    work page 2004

  16. [16]

    P.; Winnewisser, M.; Medvedev, I

    (47) Winnewisser, B. P.; Winnewisser, M.; Medvedev, I. R.; Behnke, M.; De Lucia, F. C.; Ross, S. C.; Koput, J. Experimental Confirmation of Quantum Monodromy: The Mil- limeter Wave Spectrum of Cyanogen Isothiocyanate NCNCS. Phys. Rev. Lett. 2005, 95, 243002. (48) Tokaryk, D. W.; Ross, S. C.; Winnewisser, M.; Winnewisser, B. P.; De Lucia, F. C.; Billinghur...

    work page 2005

  17. [17]

    Excited-state quantum phase transi- tions

    (50) Cejnar, P.; Str´ ansk´ y, P.; Macek, M.; Kloc, M. Excited-state quantum phase transi- tions. J. Phys. A 2021, 54, 133001. (51) Sachdev, S. Quantum Phase Transitions , 2nd ed.; Cambridge University Press,

    work page 2021

  18. [18]

    S.; Lidar, D

    (52) Wu, L.-A.; Sarandy, M. S.; Lidar, D. A. Quantum Phase Transitions and Bipartite Entanglement. Phys. Rev. Lett. 2004, 93, 250404. (53) Larese, D.; Iachello, F. A study of quantum phase transitions and quantum mon- odromy in the bending motion of non-rigid molecules. J. Mol. Struct. 2011, 1006, 611 –

    work page 2004

  19. [19]

    Signatures of quantum phase transitions and excited state quantum phase transitions in the vibrational bending dynamics of triatomic molecules

    (54) Larese, D.; P´ erez-Bernal, F.; Iachello, F. Signatures of quantum phase transitions and excited state quantum phase transitions in the vibrational bending dynamics of triatomic molecules. J. Mol. Struct. 2013, 1051, 310 –

    work page 2013

  20. [20]

    P.; Medvedev, I

    (55) Winnewisser, M.; Winnewisser, B. P.; Medvedev, I. R.; De Lucia, F. C.; Ross, S. C.; 36 Bates, L. M. The hidden kernel of molecular quasi-linearity: Quantum monodromy. J. Mol. Struct. 2006, 798, 1–26. (56) Khalouf-Rivera, J.; P´ erez-Bernal, F.; Carvajal, M. Excited state quantum phase tran- sitions in the bending spectra of molecules. J. Quant. Spect...

    work page arXiv 2006

  21. [21]

    Exciton dynamics in chromophore aggregates with correlated environment fluctuations

    (62) Abramavicius, D.; Mukamel, S. Exciton dynamics in chromophore aggregates with correlated environment fluctuations. J. Chem. Phys. 2011, 134 . 37 (63) Hu, Z.; Engel, G. S.; Kais, S. Double-excitation manifold’s effect on exciton transfer dynamics and the efficiency of coherent light harvesting. Phys. Chem. Chem. Phys. 2018, 20, 30032–30040. (64) Hu, Z...

    work page 2011

  22. [22]

    W.; Head-Marsden, K.; Sager, L

    (65) Schlimgen, A. W.; Head-Marsden, K.; Sager, L. M.; Narang, P.; Mazziotti, D. A. Quantum simulation of open quantum systems using a unitary decomposition of op- erators. Phys. Rev. Lett. 2021, 127, 270503. (66) Schlimgen, A. W.; Head-Marsden, K.; Sager-Smith, L. M.; Narang, P.; Mazz- iotti, D. A. Quantum state preparation and nonunitary evolution with ...

    work page 2021

  23. [23]

    Efficient formulation of multitime generalized quantum master equations: Taming the cost of simulating 2D spectra

    (84) Sayer, T.; Montoya-Castillo, A. Efficient formulation of multitime generalized quantum master equations: Taming the cost of simulating 2D spectra. J. Chem. Phys. 2024, 160 . (85) Tanimura, Y.; Kubo, R. Time Evolution of a Quantum System in Contact with a Nearly Gaussian-Markoffian Noise Bath. J. Phys. Soc. Jpn. 1989, 58, 101–114. (86) Tanimura, Y. St...

    work page arXiv 2024

  24. [24]

    Reviews in Computational Chemistry ; John Wiley & Sons, Ltd, 2007; Chapter 2, pp 83–124

    (103) Matsika, S. Reviews in Computational Chemistry ; John Wiley & Sons, Ltd, 2007; Chapter 2, pp 83–124. (104) Domcke, W.; Yarkony, D. R. Role of conical intersections in molecular spectroscopy and photoinduced chemical dynamics. Annu. Rev. Phys. Chem. 2012, 63,

    work page 2007

  25. [25]

    S.; Frattini, N

    (105) Wang, C. S.; Frattini, N. E.; Chapman, B. J.; Puri, S.; Girvin, S. M.; Devoret, M. H.; Schoelkopf, R. J. Observation of wave-packet branching through an engineered conical intersection. Phys. Rev. X 2023, 13, 011008. (106) Novak, B.; Hudlicky, T.; Reed, J.; Mulzer, J.; Trauner, D. Morphine Synthesis and Biosynthesis-An Update. Curr. Org. Chem. 2000, 4,

    work page 2023

  26. [26]

    A.; Thiessen, P

    42 (107) Kim, S.; Chen, J.; Cheng, T.; Gindulyte, A.; He, J.; He, S.; Li, Q.; Shoemaker, B. A.; Thiessen, P. A.; Yu, B.; Zaslavsky, J., Leonidand Zhang; Bolton, E. E. PubChem 2023 update. Nucleic Acids Res. 2023, 51, D1373–D1380. (108) Berman, H. M.; Westbrook, J.; Feng, Z.; Gilliland, G.; Bhat, T. N.; Weissig, H.; Shindyalov, I. N.; Bourne, P. E. The Pro...

    work page 2023

  27. [27]

    S.; Laudenbach, F.; Askarani, M

    (112) Madsen, L. S.; Laudenbach, F.; Askarani, M. F.; Rortais, F.; Vincent, T.; Bulmer, J. F. F.; Miatto, F. M.; Neuhaus, L.; Helt, L. G.; Collins, M. J.; Lita, A. E.; Gerrits, T.; Nam, S. W.; Vaidya, V. D.; Menotti, M.; Dhand, I.; Vernon, Z.; Quesada, N.; Lavoie, J. Quantum computational advantage with a programmable photonic processor. Nature 2022, 606,...

    work page 2022

  28. [28]

    M.; Bromley, T

    (118) Arrazola, J. M.; Bromley, T. R.; Rebentrost, P. Quantum Approximate Optimization with Gaussian Boson Sampling. Phys. Rev. A 2018, 98, 012322. (119) Head-Marsden, K.; Flick, J.; Ciccarino, C. J.; Narang, P. Quantum Information and Algorithms for Correlated Quantum Matter. Chem. Rev. 2021, 121, 3061–3120. (120) Lyu, N.; Bergold, P.; Soley, M.; Wang, C...

    work page arXiv 2018

  29. [29]

    P.; Lyu, N.; Wang, C.; Batista, V

    (124) Dutta, R.; Vu, N. P.; Lyu, N.; Wang, C.; Batista, V. S. Simulating electronic structure on bosonic quantum computers. arXiv preprint arXiv:2404.10222 2024, (125) Dhar, A.; Mandal, G.; Suryanarayana, N. V. Exact operator bosonization of finite number of fermions in one space dimension. J. High Energy Phys. 2006, 2006,

    work page arXiv 2024

  30. [30]

    Boson sampling enhanced quantum chemistry

    (126) Shang, Z.-X.; Zhong, H.-S.; Zhang, Y.-K.; Yu, C.-C.; Yuan, X.; Lu, C.-Y.; Pan, J.- W.; Chen, M.-C. Boson sampling enhanced quantum chemistry. arXiv preprint arXiv:2403.16698 2024, 44 (127) Wang, Y.; Hu, Z.; Sanders, B. C.; Kais, S. Qudits and high-dimensional quantum computing. Frontiers in Physics 2020, 8,

    work page internal anchor Pith review arXiv 2024

  31. [31]

    Quantum circuits based on qutrits as a tool for solving systems of linear equations

    (128) Parasa, V.; Perkowski, M. Quantum Phase Estimation Using Multivalued Logic. 2011 41st IEEE International Symposium on Multiple-Valued Logic. 2011; pp 224–229. (129) Sawerwain, M.; Leo´ nski, W. Quantum circuits based on qutrits as a tool for solving systems of linear equations. arXiv:1309.0800 2013, (130) Fox, A. Quantum Optics: An Introduction ; Ox...

    work page internal anchor Pith review Pith/arXiv arXiv 2011

  32. [32]

    S.; Moore, A

    (131) Lu, H.-H.; Hu, Z.; Alshaykh, M. S.; Moore, A. J.; Wang, Y.; Imany, P.; Weiner, A. M.; Kais, S. Quantum Phase Estimation with Time-Frequency Qudits in a Single Photon. Adv. Quantum Technol. 2019, 0, 1900074. (132) Eickbusch, A.; Sivak, V.; Ding, A. Z.; Elder, S. S.; Jha, S. R.; Venkatraman, J.; Royer, B.; Girvin, S. M.; Schoelkopf, R. J.; Devoret, M....

    work page arXiv 2019

  33. [33]

    (142) Singkanipa, P.; Kasatkin, V.; Zhou, Z.; Quiroz, G.; Lidar, D. A. Demonstration of Al- gorithmic Quantum Speedup for an Abelian Hidden Subgroup Problem.arXiv preprint arXiv:2401.07934 2024, (143) Ng, H. K.; Lidar, D. A.; Preskill, J. Combining dynamical decoupling with fault- tolerant quantum computation. Phys. Rev. A 2011, 84, 012305. (144) Killoran...

    work page arXiv 2024

  34. [34]

    R.; Arrazola, J

    (145) Bromley, T. R.; Arrazola, J. M.; Jahangiri, S.; Izaac, J.; Quesada, N.; Gran, A. D.; Schuld, M.; Swinarton, J.; Zabaneh, Z.; Killoran, N. Applications of near-term pho- 46 tonic quantum computers: software and algorithms. Quantum Science and Technology 2020, 5, 034010. (146) Stavenger, T. J.; Crane, E.; Smith, K.; Kang, C. T.; Girvin, S. M.; Wiebe, ...

    work page arXiv 2020