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20232026
most citedBGLS: A Python Package for the Gate-by-Gate Sampling Algorithm to Simulate Quantum Circuits

2 citations · 5 across the 12 of their papers we have counts for

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Showing 2026 · quant-phShow all

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quant-ph2026

Digital quantum state preparation by nucleation

Jean Paul Sadia, Morten Hjorth-Jensen, Dean Lee +1

Quantum state preparation is crucial for quantum algorithms, and improved state preparation methods can reduce resource requirements by orders of magnitude. In this work, we introd…

quant-ph2026

Propaq: A Python package for Heisenberg Propagation

Hrishikesh Belagali, Ryan LaRose

We introduce Propaq, a performant and flexible Python package implementing Heisenberg propagation techniques for classically simulating quantum circuits. Propaq is compatible with…

quant-ph2026

Satisfying Quantum Codes: Physics-Informed and Hardware-Aware Code Design with SAT Solvers

Ben DalFavero, William M. Watkins, Margarite L. LaBorde +4

Although quantum error correction is widely believed to be necessary for impactful applications of quantum computers, the design of quantum error correction codes is largely done b…

quant-ph2026

Efficient classical simulation of large-scale unitary cluster Jastrow circuits

Hrishikesh Belagali, Thomas Van Camp, R. Pradeep +3

Recent experiments on quantum computers have challenged the limits of classical computation in chemistry, simulating ground states of strongly correlated molecules. Many of these e…

quant-ph2026

Opportunities and challenges in scaling quantum error detection on hardware

Yanis Le Fur, Ethan Egger, Hong-Ye Hu +3

Quantum error detection can produce unbiased expectation values that exponentially converge to noiseless results as the code distance is increased. Despite this, its performance as…

quant-ph2026

Overlapped groupings for quantum energy estimation: Maximal variance reduction and deterministic algorithms for reducing variance

Jeremiah Rowland, Rahul Sarkar, Nicolas PD Sawaya +2

Grouping-based measurement strategies are widely used to reduce measurement complexity in near-term quantum algorithms. While these schemes have typically produced disjoint groups,…

quant-ph2026

The cost of quantum algorithms for biochemistry: A case study in metaphosphate hydrolysis

Ryan LaRose, Antonios M. Alvertis, Alan Bidart +10

We evaluate the quantum resource requirements for ATP/metaphosphate hydrolysis, one of the most important reactions in all of biology with implications for metabolism, cellular sig…