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quant-ph2026

QMCtwin: Master-Equation Simulation of Syndrome Statistics Beyond Pauli Noise

Tong Shen, Huo Chen, Benchen Huang +4

As quantum error correction moves toward large-scale experimental implementations, decoder performance increasingly depends on how faithfully hardware noise is translated into synd…

quant-ph2024

QuCLEAR: Clifford Extraction and Absorption for Quantum Circuit Optimization

Ji Liu, Alvin Gonzales, Benchen Huang +2

Quantum computing carries significant potential for addressing practical problems. However, currently available quantum devices suffer from noisy quantum gates, which degrade the f…

quant-ph2024

Extrapolating Pauli Checks for Expectation Value Estimation on Noisy Quantum Devices

Quinn Langfitt, Ji Liu, Benchen Huang +4

Pauli Check Sandwiching (PCS) is an error detection scheme that protects quantum circuits by inserting pairs of parity checks and discarding runs that signal errors. However, each…

quant-ph2023

Quantum-centric Supercomputing for Materials Science: A Perspective on Challenges and Future Directions

Yuri Alexeev, Maximilian Amsler, Paul Baity +124

Computational models are an essential tool for the design, characterization, and discovery of novel materials. Hard computational tasks in materials science stretch the limits of e…

quant-ph2023

Superstaq: Deep Optimization of Quantum Programs

Colin Campbell, Frederic T. Chong, Denny Dahl +21

We describe Superstaq, a quantum software platform that optimizes the execution of quantum programs by tailoring to underlying hardware primitives. For benchmarks such as the Berns…