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20182026
most citedError-Mitigation Enabled Multicomponent Quantum Simulations Beyond the Born-Oppenheimer Approximation

1 citations · 1 across the 5 of their papers we have counts for

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quant-ph2026

Stabilizer Statistical Mechanics: A Framework for Efficient Quantification and Classification of Magic States

William E. Salazar, Gaurav Saxena, Jack S. Baker +2

The partition function is statistical mechanics' answer to an exponentially large spectrum, distilling it into a single analytic object whose temperature dependence resolves the fu…

quant-ph2026

Measurement circuit ansatz: Naimark versus quantum neural-network measurements

Sung Won Yun, Thi Ha Kyaw, Joonwoo Bae

In this work, we present constructions of quantum circuits to implement general measurements on quantum hardware. Firstly, we investigate a quantum circuit ansatz by following the…

quant-ph2026

Designing quantum technologies with a quantum computer

Juan Naranjo, Thi Ha Kyaw, Gaurav Saxena +2

Interacting spin systems in solids underpin a wide range of quantum technologies, from quantum sensors and single-photon sources to spin-defect-based quantum registers and processo…

quant-ph20251 cited

Error-Mitigation Enabled Multicomponent Quantum Simulations Beyond the Born-Oppenheimer Approximation

Delmar G. A. Cabral, Brandon Allen, Fabijan Pavošević +6

We introduce a multicomponent unitary coupled cluster framework for quantum simulations of molecular systems that incorporate both electronic and nuclear quantum effects beyond the…

quant-ph2025

Quenching, Fast and Slow: Breaking Kibble-Zurek Universal Scaling by Jumping along Geodesics

Thi Ha Kyaw, Guillermo Romero, Gaurav Saxena

A major drawback of adiabatic quantum computing (AQC) is fulfilling the energy gap constraint, which requires the total evolution time to scale inversely with the square of the min…

quant-ph2025

Universal initial state preparation for first quantized quantum simulations

Jack S. Baker, Gaurav Saxena, Thi Ha Kyaw

Preparing symmetry-adapted initial states is a principal bottleneck in first-quantized quantum simulation. We present a universal approach that efficiently maps any polynomial-size…