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20232026
most citedToward QCD on Quantum Computer: Orbifold Lattice Approach

17 citations · 38 across the 12 of their papers we have counts for

collaborators

14 papers

hep-lat2026

Trapped-ion quantum simulation of (1+1)D SU(2) lattice gauge theory via loop-string-hadron formulation

Toshiaki Kaji, Jesse R. Stryker, Yutaro Iiyama +4

We present a quantum simulation of the SU(2) lattice gauge theory in 1+1 dimensions with one flavor of fermions, performed using the trapped-ion Quantinuum System Model H2. This wo…

hep-lat2026

Time-Domain Observables for Resonant Scattering in Quantum Simulations of Lattice Gauge Theory

Praveen Balaji, Patrick Draper, Enrico Rinaldi

Quantum computing may allow unprecedented access to nonequilibrium quantum dynamics, including problems of interest in particle physics, like the real-time development of scatterin…

quant-ph2026

Measurement-based simulation of lattice gauge theory dynamics with adaptive quantum circuits on a trapped-ion processor

Hiroki Sukeno, Enrico Rinaldi, Takuya Okuda

Measurement-based quantum simulation (MBQS)---a recently proposed architecture for simulating lattice gauge theories---implements Hamiltonian dynamics by consuming a model-specific…

quant-ph2026

Exact log-depth preparation of highly entangled matrix product states

Keisuke Murota, Frédéric Sauvage, Marco Ballarin +2

Preparing matrix product states (MPS) on a quantum device is a key subroutine in many quantum algorithms. The most competitive methods, based on the renormalisation group, prepare…

quant-ph2026

Unbiased Hamiltonian Simulation by Reversing Trotter Error Dynamics

Keisuke Murota, Yuta Kikuchi, Enrico Rinaldi +2

Owing to their simplicity and low overhead, Suzuki-Trotter formulas remain the de facto Hamiltonian simulation methods on current quantum computing platforms. Systematic Trotter er…

quant-ph2026

Simulating the dynamics of an SU(2) matrix model on a trapped-ion quantum computer

Gavin S. Hartnett, Haoran Liao, Enrico Rinaldi

Matrix models are an important class of systems in string theory and theoretical physics, with applications to random matrix theory, quantum chaos, and black holes. Hamiltonian Mon…

quant-ph2026

Observation of genuine D string dynamics in a U lattice gauge theory with a tunable plaquette term on a trapped-ion quantum computer

Rohan Joshi, Yizhuo Tian, Kevin Hemery +5

Quantum simulations of high-energy physics in D can probe dynamical phenomena nonexistent in one spatial dimension and access regimes that are challenging for existing classic…

hep-lat2026

Observation of glueball excitations and string breaking in a D lattice gauge theory on a trapped-ion quantum computer

Kaidi Xu, Umberto Borla, Kevin Hemery +4

A major goal of the quantum simulation of high-energy physics (HEP) is to probe real-time nonperturbative far-from-equilibrium quantum processes underlying phenomena such as hadron…

quant-ph2025

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…

hep-lat2025

Quantum Circuits for SU(3) Lattice Gauge Theory

Praveen Balaji, Cianán Conefrey-Shinozaki, Patrick Draper +5

Lattice gauge theories in varying dimensions, lattice volumes, and truncations offer a rich family of targets for Hamiltonian simulation on quantum devices. In return, formulating…

quant-ph2024★ 1 cited

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…

hep-th2024★ 4 cited

Variational Monte Carlo with Neural Network Quantum States for Yang-Mills Matrix Model

Norbert Bodendorfer, Onur Oktay, Vaibhav Gautam +2

We apply the variational Monte Carlo method based on neural network quantum states, using a neural autoregressive flow architecture as our ansatz, to determine the ground state wav…

hep-th2024★ 17 cited

Toward QCD on Quantum Computer: Orbifold Lattice Approach

Georg Bergner, Masanori Hanada, Enrico Rinaldi +1

We propose an orbifold lattice formulation of QCD suitable for quantum simulations. We show explicitly how to encode gauge degrees of freedom into qubits using noncompact variables…

hep-th2023★ 16 cited

A model of randomly-coupled Pauli spins

Masanori Hanada, Antal Jevicki, Xianlong Liu +2

We construct a model of Pauli spin operators with all-to-all 4-local interactions by replacing Majorana fermions in the SYK model with spin operators. Equivalently, we replace ferm…