Protocol learns k-local Lindbladians to ε accuracy with Õ(n^{2k}/ε²) samples and projects to valid generators; improves to log n under sparsity assumptions.
Benjamin, and Xiao Yuan
9 Pith papers cite this work, alongside 511 external citations. Polarity classification is still indexing.
9
Pith papers citing it
511
external citations · OpenAlex
citation-role summary
background 2
citation-polarity summary
years
2026 9roles
background 2polarities
background 2representative citing papers
Introduces forward-assisted purification via a new spatiotemporal framework that outperforms conventional static purification by up to 50x in copy efficiency and circumvents no-purification theorems for Bell states.
Zero-noise extrapolation has a finite-shot help-harm boundary below which it increases local mean-squared error due to variance penalties outweighing bias reduction.
Symmetry-based classical post-processing projects out Trotter error components that violate symmetries while preserving ideal dynamics in quantum simulations.
A commutativity-based dynamic ansatz within DMET enables ground-state simulations of molecules up to 144 qubits using at most 20 qubits at a time with improved accuracy and lower gate counts than standard approaches.
Experimental demonstration of quantum collision models for Markovian dynamics on quantum hardware with up to 7 system qubits and 40 time steps, using hardware-specific ancilla strategies for local and nonlocal dissipation.
Empirical study of real NISQ order-finding data identifies dominant verified mass fraction as the strongest predictor of whether standard post-processing recovers the true order.
DQR enables efficient scheduling and failover for cut quantum circuit fragments across local QPUs and remote simulators on real HPC hardware with low coordination overhead.
A three-axis taxonomy (intervention level, functional role, hardware regime) organizes hybrid quantum-classical DFT approaches and points to embedding-on-NISQ as the near-term path.
citing papers explorer
-
Robust Structure Learning of $k$-local Lindbladians
Protocol learns k-local Lindbladians to ε accuracy with Õ(n^{2k}/ε²) samples and projects to valid generators; improves to log n under sparsity assumptions.
-
Forward-Assisted Purification: A Spatiotemporal Framework Beyond Conventional Limits
Introduces forward-assisted purification via a new spatiotemporal framework that outperforms conventional static purification by up to 50x in copy efficiency and circumvents no-purification theorems for Bell states.
-
The finite-shot help-harm boundary of zero-noise extrapolation
Zero-noise extrapolation has a finite-shot help-harm boundary below which it increases local mean-squared error due to variance penalties outweighing bias reduction.
-
Mitigating Trotter Errors via Post-Processed Symmetry Restoration
Symmetry-based classical post-processing projects out Trotter error components that violate symmetries while preserving ideal dynamics in quantum simulations.
-
Advancing Practical Quantum Embedding Simulations via Operator Commutativity Based State Preparation for Complex Chemical Systems
A commutativity-based dynamic ansatz within DMET enables ground-state simulations of molecules up to 144 qubits using at most 20 qubits at a time with improved accuracy and lower gate counts than standard approaches.
-
Simulating the Dynamics of Markovian Quantum Processes by Quantum Collision Models on Quantum Computers
Experimental demonstration of quantum collision models for Markovian dynamics on quantum hardware with up to 7 system qubits and 40 time steps, using hardware-specific ancilla strategies for local and nonlocal dissipation.
-
When Noisy Quantum Order Finding Remains Recoverable for Shor's Algorithm
Empirical study of real NISQ order-finding data identifies dominant verified mass fraction as the strongest predictor of whether standard post-processing recovers the true order.
-
Wave-Based Dispatch for Circuit Cutting in Hybrid HPC--Quantum Systems
DQR enables efficient scheduling and failover for cut quantum circuit fragments across local QPUs and remote simulators on real HPC hardware with low coordination overhead.
-
Hybrid Quantum-Classical Density Functional Theory: A Structured Framework
A three-axis taxonomy (intervention level, functional role, hardware regime) organizes hybrid quantum-classical DFT approaches and points to embedding-on-NISQ as the near-term path.