Synergistic pretraining of parametrized quantum circuits via tensor networks
Parametrized quantum circuits (PQCs) represent a promising framework for using present-
day quantum hardware to solve diverse problems in materials science, quantum chemistry …
day quantum hardware to solve diverse problems in materials science, quantum chemistry …
Synergy between quantum circuits and tensor networks: Short-cutting the race to practical quantum advantage
MS Rudolph, J Miller, D Motlagh, J Chen… - ar**s
In ab initio electronic structure simulations, fermion-to-qubit map**s represent the initial
encoding step from the problem of fermions into a problem of qubits. This work introduces a …
encoding step from the problem of fermions into a problem of qubits. This work introduces a …
Partitioning quantum chemistry simulations with clifford circuits
Current quantum computing hardware is restricted by the availability of only few, noisy
qubits which limits the investigation of larger, more complex molecules in quantum chemistry …
qubits which limits the investigation of larger, more complex molecules in quantum chemistry …
Quantum Algorithmic Approach to Multiconfigurational Valence Bond Theory: Insights from Interpretable Circuit Design
Efficient ways to prepare Fermionic ground states on quantum computers are in high
demand, and different techniques have been developed over the past few years. Despite …
demand, and different techniques have been developed over the past few years. Despite …
Quantum algorithm for bioinformatics to compute the similarity between proteins
A Chagneau, Y Massaoudi, I Derbali… - IET Quantum …, 2024 - Wiley Online Library
Drug discovery has become a main challenge in the society, following the COVID‐19
pandemic. However, pharmaceutical companies are already using computing to accelerate …
pandemic. However, pharmaceutical companies are already using computing to accelerate …