5 citations · 8 across the 10 of their papers we have counts for
11 papers
Quantum Krylov Learning
Shunji Matsuura, Yoji Kawamura, Joseph Salfi +1
The Hamiltonian of a natural quantum system is usually determined indirectly, by proposing microscopic models and comparing their predicted observables with experiment. A more dire…
Discretization-Aware Fine-Tuning for Quantum Machine Learning with Chemical Foundation Models
Shunji Matsuura, Sonika Johri
A key challenge in practical quantum machine learning (QML), particularly for discriminative tasks such as classification, is the limited capacity of near-term quantum devices to e…
Krylov Break Times from an Inhomogeneous Lieb--Robinson Light Cone
Shunji Matsuura, Yoji Kawamura, Joseph Salfi +1
Krylov and Lanczos approximations are used in quantum dynamics, quantum subspace methods, and Hamiltonian learning. A practical question is how long an -dimensional Krylov trunc…
Learning Quantum Operator Dynamics from Short-Time Data
Jinyang Li, Satoshi Iso, Shunji Matsuura +2
Real-time dynamics of quantum observables provide direct access to excitation spectra and correlation functions in quantum many-body systems, but currently available quantum device…
Gauge Symmetry in Quantum Simulation --- Redundancy Is All You Need ---
Masanori Hanada, Shunji Matsuura, Andreas Schafer +1
Quantum simulation of non-Abelian gauge theories requires careful handling of gauge redundancy. We present universal principles for treating gauge symmetry that apply to any quantu…
Quantum Machine Learning for Identifying Transient Events in X-ray Light Curves
Taiki Kawamuro, Shinya Yamada, Shigehiro Nagataki +3
We investigate whether a novel method of quantum machine learning (QML) can identify anomalous events in X-ray light curves as transient events and apply it to detect such events f…
Universal framework with exponential speedup for the quantum simulation of quantum field theories including QCD
Jad C. Halimeh, Masanori Hanada, Shunji Matsuura
We present a quantum simulation framework universally applicable to a wide class of quantum systems, including quantum field theories such as quantum chromodynamics (QCD). Specific…
Exponential improvement in quantum simulations of bosons
Masanori Hanada, Shunji Matsuura, Emanuele Mendicelli +1
Hamiltonian quantum simulation of bosons on digital quantum computers requires truncating the Hilbert space to finite dimensions. The method of truncation and the choice of basis s…
A universal framework for the quantum simulation of Yang-Mills theory
Jad C. Halimeh, Masanori Hanada, Shunji Matsuura +3
We provide a universal framework for the quantum simulation of SU(N) Yang--Mills theories on fault-tolerant digital quantum computers adopting the orbifold lattice formulation. As…
Bootstrapping Classical Shadows for Neural Quantum State Tomography
Wirawat Kokaew, Bohdan Kulchytskyy, Shunji Matsuura +1
We investigate the advantages of using autoregressive neural quantum states as ansatze for classical shadow tomography to improve its predictive power. We introduce a novel estimat…
Tangelo: An Open-source Python Package for End-to-end Chemistry Workflows on Quantum Computers
Valentin Senicourt, James Brown, Alexandre Fleury +10
Tangelo [link: https://github.com/goodchemistryco/Tangelo] is an open-source Python software package for the development of end-to-end chemistry workflows on quantum computers, rel…