First digital quantum simulation of SU(2) matrix model real-time dynamics on Quantinuum H2 using Loschmidt echo, with systematic error breakdown and modest post-selection gains.
hub
Helios: A 98-qubit trapped-ion quantum computer
18 Pith papers cite this work. Polarity classification is still indexing.
18
Pith papers citing it
hub tools
years
2026 18representative citing papers
Linearized gate set tomography scales error characterization to many qubits via sparse models, linear fitting, and shallow circuits, with simulations showing accuracy on 10-qubit systems including crosstalk.
Two constructions yield strong unitary k-designs and pseudorandom unitaries on D-dimensional grids with provably optimal depth.
Monte Carlo-assisted tightening of the energy-based boson truncation bound substantially reduces volume dependence in (1+1)D scalar field theory and (2+1)D U(1) gauge theory.
Dynamarq is a new scalable benchmarking framework that defines structural features for dynamic quantum circuits and uses statistical models to predict hardware fidelity with transferable parameters.
A qubit-reduction method for hypergraph product codes preserves dimension, distance, and fault-tolerance properties, producing smaller codes such as [[441,64,6]] from [[610,64,6]] with comparable noise performance and compatibility with logical gates.
Optimized QED intervals plus steady-state extraction enable PEC+QED to deliver 2-11x lower error than PEC alone on Iceberg codes for QAOA.
A trapped-ion architecture based on LDPC codes and cat-state factories achieves 110 logical qubits and one million T gates per day using 2514 physical qubits, with estimates for Heisenberg model simulation on 100 sites in one month using 10000 qubits.
SimpleTES scales test-time evaluation in LLMs to discover state-of-the-art solutions on 21 scientific problems across six domains, outperforming frontier models and optimization pipelines with examples like 2x faster LASSO and new Erdos constructions.
Singly-ionized yttrium (89Y+) is positioned as a trapped-ion qubit with nuclear-spin storage, metastable manifolds, and isolated transitions for initialization, readout, and gates.
Mixed physical-logical datasets for zero-noise extrapolation reduce estimator variance and physical runtime by orders of magnitude compared to pure logical or pure physical strategies when error correction suppresses noise by a factor of 0.1 or less.
Heterogeneous quantum architectures with task-specific hardware and QEC encodings deliver up to 138x lower physical-qubit overhead than monolithic baselines for fault-tolerant algorithms, including RSA-2048 factoring at 190k-381k qubits.
High motional frequency ion trapping reduces decoherence effects and accelerates experimental duty cycles in quantum information science.
Exascale classical simulation validates noise-tolerant performance of a 98-qubit QPU up to 48 qubits for LR-QAOA, with statistical analysis showing coherent regime up to 93 qubits before outputs become indistinguishable from random.
Sparse qubit connectivity raises compiled depth in noisy IQP circuits, requiring lower effective noise to remain outside the classically simulatable regime compared to fully connected layouts.
A framework with operational criteria and a trapped-atom hardware proposal for achieving statistically significant quantum advantage in latency-constrained nonlocal games.
The authors present Pilot-Quantum, a middleware for adaptive resource management in hybrid quantum-HPC systems, along with execution motifs and a performance modeling toolkit called Q-Dreamer.
Qudit encoding of the vibrational Hamiltonian yields the most accurate population transfer simulations for CO2 and H2O compared to binary and direct qubit encodings when entangling gate error rates are held equal.
citing papers explorer
-
Simulating the dynamics of an SU(2) matrix model on a trapped-ion quantum computer
First digital quantum simulation of SU(2) matrix model real-time dynamics on Quantinuum H2 using Loschmidt echo, with systematic error breakdown and modest post-selection gains.
-
Scalable linearized gate set tomography
Linearized gate set tomography scales error characterization to many qubits via sparse models, linear fitting, and shallow circuits, with simulations showing accuracy on 10-qubit systems including crosstalk.
-
Arts & crafts: Strong random unitaries and geometric locality
Two constructions yield strong unitary k-designs and pseudorandom unitaries on D-dimensional grids with provably optimal depth.
-
Tightening energy-based boson truncation bound using Monte Carlo-assisted methods
Monte Carlo-assisted tightening of the energy-based boson truncation bound substantially reduces volume dependence in (1+1)D scalar field theory and (2+1)D U(1) gauge theory.
-
Characterizing and Benchmarking Dynamic Quantum Circuits
Dynamarq is a new scalable benchmarking framework that defines structural features for dynamic quantum circuits and uses statistical models to predict hardware fidelity with transferable parameters.
-
Spatial overhead reduction for 2D hypergraph product codes
A qubit-reduction method for hypergraph product codes preserves dimension, distance, and fault-tolerance properties, producing smaller codes such as [[441,64,6]] from [[610,64,6]] with comparable noise performance and compatibility with logical gates.
-
Co-Designing Error Mitigation and Error Detection for Logical Qubits
Optimized QED intervals plus steady-state extraction enable PEC+QED to deliver 2-11x lower error than PEC alone on Iceberg codes for QAOA.
-
Fault-Tolerant Quantum Computing with Trapped Ions: The Walking Cat Architecture
A trapped-ion architecture based on LDPC codes and cat-state factories achieves 110 logical qubits and one million T gates per day using 2514 physical qubits, with estimates for Heisenberg model simulation on 100 sites in one month using 10000 qubits.
-
Evaluation-driven Scaling for Scientific Discovery
SimpleTES scales test-time evaluation in LLMs to discover state-of-the-art solutions on 21 scientific problems across six domains, outperforming frontier models and optimization pipelines with examples like 2x faster LASSO and new Erdos constructions.
-
Yttrium ion as a platform for quantum information processing
Singly-ionized yttrium (89Y+) is positioned as a trapped-ion qubit with nuclear-spin storage, metastable manifolds, and isolated transitions for initialization, readout, and gates.
-
Runtime-efficient zero-noise extrapolation from mixed physical and logical data
Mixed physical-logical datasets for zero-noise extrapolation reduce estimator variance and physical runtime by orders of magnitude compared to pure logical or pure physical strategies when error correction suppresses noise by a factor of 0.1 or less.
-
Heterogeneous architectures enable a 138x reduction in physical qubit requirements for fault-tolerant quantum computing under detailed accounting
Heterogeneous quantum architectures with task-specific hardware and QEC encodings deliver up to 138x lower physical-qubit overhead than monolithic baselines for fault-tolerant algorithms, including RSA-2048 factoring at 190k-381k qubits.
-
A High Motional Frequency Ion Trapping Regime for Quantum Information Science
High motional frequency ion trapping reduces decoherence effects and accelerates experimental duty cycles in quantum information science.
-
Large-Scale Quantum Circuit Simulation on an Exascale System for QPU Benchmarking
Exascale classical simulation validates noise-tolerant performance of a 98-qubit QPU up to 48 qubits for LR-QAOA, with statistical analysis showing coherent regime up to 93 qubits before outputs become indistinguishable from random.
-
The Impact of Qubit Connectivity on Quantum Advantage in Noisy IQP Circuits
Sparse qubit connectivity raises compiled depth in noisy IQP circuits, requiring lower effective noise to remain outside the classically simulatable regime compared to fully connected layouts.
-
Operational criteria for quantum advantage in latency-constrained nonlocal games
A framework with operational criteria and a trapped-atom hardware proposal for achieving statistically significant quantum advantage in latency-constrained nonlocal games.
-
Hybrid Quantum-HPC Middleware Systems for Adaptive Resource, Workload and Task Management
The authors present Pilot-Quantum, a middleware for adaptive resource management in hybrid quantum-HPC systems, along with execution motifs and a performance modeling toolkit called Q-Dreamer.
-
Simulation of vibrational dynamics using qubits and qudits
Qudit encoding of the vibrational Hamiltonian yields the most accurate population transfer simulations for CO2 and H2O compared to binary and direct qubit encodings when entangling gate error rates are held equal.