activity
20242026
collaborators

9 papers

quant-ph2026

Quantum simulation in the Heisenberg picture via vectorization

Shao-Hen Chiew, Armando Angrisani, Zoë Holmes +1

We present a general framework for simulating quantum systems in the Heisenberg picture on quantum hardware. Based on the vectorization map, our framework fully exploits the mappin…

quant-ph2026

Grover's algorithm is an approximation of imaginary-time evolution

Yudai Suzuki, Marek Gluza, Jeongrak Son +3

We reveal the power of Grover's algorithm from thermodynamic and geometric perspectives by showing that it is a product formula approximation of imaginary-time evolution (ITE), a R…

quant-ph2025

On Dequantization of Supervised Quantum Machine Learning via Random Fourier Features

Mehrad Sahebi, Alice Barthe, Yudai Suzuki +2

In the quest for quantum advantage, a central question is under what conditions can classical algorithms achieve a performance comparable to quantum algorithms--a concept known as…

quant-ph2025

Double-bracket algorithm for quantum signal processing without post-selection

Yudai Suzuki, Bi Hong Tiang, Jeongrak Son +3

Quantum signal processing (QSP), a framework for implementing matrix-valued polynomials, is a fundamental primitive in various quantum algorithms. Despite its versatility, a potent…

quant-ph2025

Moments of quantum channel ensembles

Matthew Duschenes, Diego García-Martín, Zoë Holmes +1

Moments of ensembles of unitaries play a central role in quantum information theory as they capture the statistical properties of dynamics of systems with some form of randomness.…

quant-ph2025

Double-bracket quantum algorithms for high-fidelity ground state preparation

Matteo Robbiati, Edoardo Pedicillo, Andrea Pasquale +13

Ground state preparation is a central application for quantum computers but remains challenging in practice. In this work, we quantitatively investigate the performance and gate co…