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20212026
most citedEfficient Fully-Coherent Quantum Signal Processing Algorithms for Real-Time Dynamics Simulation

56 citations · 76 across the 5 of their papers we have counts for

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6 papers

quant-ph2026

Quantum Codeword Sensing

John Blue, Zachary E. Chin, Vlad S. Oros +1

Consider the task of identifying an unknown classical codeword delivered to a register of quantum sensor qubits through a sequence of weak phase interactions that each encode one b…

quant-ph2026

Polynomial-time exact diagonalization via sparse guided eigenwalks

Zachary E. Chin, Mario Motta, Javier Robledo Moreno +3

Computing quantum ground states is generically difficult, but additional structure can sometimes allow diagonalization to be recast as a more feasible problem. For example, when th…

quant-ph2024

The quantum trajectory sensing problem and its solution

Zachary E. Chin, Isaac L. Chuang

The quantum trajectory sensing problem seeks quantum sensor states which enable the trajectories of incident particles to be distinguished using a single measurement. For an -qu…

quant-ph2024

Quantum entanglement enables single-shot trajectory sensing for weakly interacting particles

Zachary E. Chin, David R. Leibrandt, Isaac L. Chuang

Sensors for mapping the trajectory of an incoming particle find important utility in experimental high energy physics and searches for dark matter. For a quantum sensing protocol t…

quant-ph2023★ 20 cited

Bootstrap Embedding on a Quantum Computer

Yuan Liu, Oinam R. Meitei, Zachary E. Chin +4

We extend molecular bootstrap embedding to make it appropriate for implementation on a quantum computer. This enables solution of the electronic structure problem of a large molecu…

quant-ph2021★ 56 cited

Efficient Fully-Coherent Quantum Signal Processing Algorithms for Real-Time Dynamics Simulation

John M. Martyn, Yuan Liu, Zachary E. Chin +1

Simulating the unitary dynamics of a quantum system is a fundamental problem of quantum mechanics, in which quantum computers are believed to have significant advantage over their…