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20242026
most citedHybrid Oscillator-Qubit Quantum Processors: Simulating Fermions, Bosons, and Gauge Fields

7 citations · 7 across the 2 of their papers we have counts for

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quant-ph2026

FTCircuitBench: A Benchmark Suite for Fault-Tolerant Quantum Compilation and Architecture

Adrian Harkness, Shuwen Kan, Chenxu Liu +10

Realizing large-scale quantum advantage is expected to require quantum error correction (QEC), making the compilation and optimization of logical operations a critical area of rese…

quant-ph2025

COMPAS: A Distributed Multi-Party SWAP Test for Parallel Quantum Algorithms

Brayden Goldstein-Gelb, Kun Liu, John M. Martyn +4

The limited number of qubits per chip remains a critical bottleneck in quantum computing, motivating the use of distributed architectures that interconnect multiple quantum process…

quant-ph20247 cited

Hybrid Oscillator-Qubit Quantum Processors: Simulating Fermions, Bosons, and Gauge Fields

Eleanor Crane, Kevin C. Smith, Teague Tomesh +9

We develop a hybrid oscillator-qubit processor framework for quantum simulation of strongly correlated fermions and bosons that avoids the boson-to-qubit mapping overhead encounter…

quant-ph2024

Parallel Quantum Signal Processing Via Polynomial Factorization

John M. Martyn, Zane M. Rossi, Kevin Z. Cheng +2

Quantum signal processing (QSP) is a methodology for constructing polynomial transformations of a linear operator encoded in a unitary. Applied to an encoding of a state , QSP e…

quant-ph2024

Halving the Cost of Quantum Algorithms with Randomization

John M. Martyn, Patrick Rall

Quantum signal processing (QSP) provides a systematic framework for implementing a polynomial transformation of a linear operator, and unifies nearly all known quantum algorithms.…