Conveners
Quantum computing and quantum information
- Jesse Stryker (Lawrence Berkeley National Laboratory)
Quantum computing and quantum information
- Tommaso Rainaldi (Stony Brook University)
Quantum computing and quantum information
- Raghav G. Jha
Quantum computing and quantum information
- Emanuele Mendicelli (University of Liverpool (United Kingdom))
Quantum computing and quantum information
- Sophie Mutzel (Mines Paris, ENS Paris, Inria Paris)
Quantum computing and quantum information
- Tanmoy Bhattacharya (Los Alamos National Laboratory)
Quantum computing and quantum information
- Molly Kaplan (Inria/Mines Paris - PSL)
Quantum computing and quantum information
- Christopher Kane (University of Maryland)
Quantum computing and quantum information
- Natalie Klco (Duke University)
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Emanuele Mendicelli (University of Liverpool (United Kingdom))27/07/2026, 14:002Quantum computing and quantum informationContributed talk
Quantum simulations provide a promising framework for studying the real-time dynamics of interacting quantum systems beyond the reach of classical computation. In this talk, we present several aspects of quantum simulations for systems of bosons, including a toy model for D-brane scattering. We describe an efficient digitization and discuss how the evolution of the wave function's mean...
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Vinay Vikramaditya (University of Maryland, College Park)27/07/2026, 14:201Quantum computing and quantum informationContributed talk
Quantum simulation is a promising approach to study out-of-equilibrium dynamics of quantum gauge field theories, particularly in regimes where classical methods become intractable. Mapping bosonic (gauge) degrees of freedom onto qubits requires truncating their infinite dimensional Hilbert space, leading to errors that grow with system energy and simulation time, and resulting in a large qubit...
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Tommaso Rainaldi (Stony Brook University)27/07/2026, 14:401Quantum computing and quantum informationContributed talk
We present a versatile quantum computing framework designed to simulate real-time dynamics on emerging hybrid hardware platforms that provide simultaneous access to both discrete (qubits) and continuous (qumodes) quantum resources. This framework leverages continuous-variable bosonic modes to represent the infinite-dimensional Hilbert space of gauge fields, integrated with qubits to represent...
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Takuya Okuda (University of Tokyo)27/07/2026, 15:00Quantum computing and quantum informationContributed talk
Real time dynamics of lattice gauge theories are difficult to access with Euclidean Monte Carlo methods and challenging to implement on quantum devices, where noise can drive states out of the gauge invariant sector. I will present an experimental realization of measurement based quantum simulation (MBQS) for a $(2+1)$ dimensional $\mathbb{Z}_2$ lattice gauge theory on Quantinuum's H2 trapped...
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Valery Simonyan (University of Maryland)27/07/2026, 15:20Quantum computing and quantum informationContributed talk
Quantum computers can produce real time correlators of field theories. We adapt the generalized eigenvalue problem to these real-time correlators in order to extract energy eigenvalues. We test the method with both simulations in classical computers and on actual quantum hardware. We are able to resolve several low-lying energy levels, in agreement with exact diagonalization results. We also...
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David Rogerson (Rutgers University)27/07/2026, 16:10Quantum computing and quantum informationContributed talk
Classical tensor networks and hybrid quantum-classical algorithms offer a promising path toward simulating the real-time dynamics of lattice gauge theories. In this talk, we present a novel framework that strictly enforces gauge symmetry via a virtual quantum-link rishon representation. Crucially, both gauge and matter degrees of freedom are treated as dynamical variables encoded directly into...
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Luis Hidalgo27/07/2026, 16:301Quantum computing and quantum informationContributed talk
In this talk, I present a Hamiltonian for lattice SU($N_c$) gauge theory with staggered and Wilson fermions. A theta angle is also included as part of either a pure-gauge term or a complex fermion mass. The physical, gauge-invariant Hilbert space is formulated in a representation basis, where gauge and fermionic degrees of freedom can be encoded by irreducible representations of SU($N_c$) that...
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Juan Antonio Gil Fraile27/07/2026, 16:50Quantum computing and quantum informationContributed talk
Gluons in unpolarized hadrons exhibit nontrivial spin-orbit correlations, which at sufficiently small longitudinal momentum fractions, can be characterized by highly entangled quantum states. In this work, we develop a quantum simulation framework to study the coupling between the intrinsic helicity and orbital angular momentum of a gluon on a quantum computer. We extend our framework to...
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Adwait Naravane (Ghent university)28/07/2026, 14:003Quantum computing and quantum informationContributed talk
Tensor networks offer a sign-problem-free framework for studying lattice field theories, provide direct access to partition functions, free energies, and correlation functions through controlled, deterministic approximations. This introductory talk aims to bridge the gap for the lattice community by presenting the essential concepts and computational tools of the tensor network approach.
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Etsuko Itou28/07/2026, 14:202Quantum computing and quantum informationContributed talk
We investigate the entanglement structure of the 2+1-dimensional Z_2 lattice gauge theory using tensor-network methods. We construct gauge-invariant ground state based on the gauged Gaussian PEPS (GGPEPS) ansatz proposed by Zohar et al., which automatically satisfies Gaussโ law. This ansatz enables us to study the theory over a wide range of coupling constants while keeping gauge invariance...
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Molly Kaplan (Inria/Mines Paris - PSL)28/07/2026, 14:40Quantum computing and quantum informationContributed talk
In this talk, I introduce a variational method to solve continuum quantum models with discrete tensor network techniques. The method leverages wavelet matrix product states (wMPS): matrix product states built on top of sufficiently regular ($N\geq 6$) Daubechies scaling functions. These states live in the continuum field theory Fock space, have finite energy density, and can be optimized with...
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Akira Matsumoto (Graduate School of Science, Osaka Metropolitan University)28/07/2026, 15:00Quantum computing and quantum informationContributed talk
Clifford circuit is a special type of quantum circuit that can generate entanglement states while remaining easily simulable on classical computers. Recently, Clifford-circuits augmented MPS (CAMPS) has been proposed, which consists of the Clifford circuit and matrix product state (MPS). The CAMPS can describe strongly entangled states with smaller bond dimensions than the ordinary MPS. In...
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Sophie Mutzel (Mines Paris, ENS Paris, Inria Paris)28/07/2026, 15:201Quantum computing and quantum informationContributed talk
Variational methods based on tensor networks have recently emerged as powerful non-perturbative tools for studying low-dimensional quantum field theories. Relativistic continuous matrix product states (RCMPS) allow certain 1+1 dimensional relativistic quantum field theories to be solved directly in the continuum and thermodynamic limits, without ultraviolet or infrared cutoff.
In this talk...
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Aatu Rajala (University of Helsinki)28/07/2026, 16:101Quantum computing and quantum informationContributed talk
In this talk, I will present our argument that, in the limit of large subregions, the derivative of entanglement entropy (EE) with respect to the size of the entangling region approaches the thermal entropy density for general QFTs. We provide validation for these claims from our lattice computations in the three-dimensional O(4) model at finite chemical potential by showing that in the...
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Dr Raghav G. Jha28/07/2026, 16:301Quantum computing and quantum informationContributed talk
Magic and entanglement quantify departure of quantum systems from classical world: the former measures the deviation from stabilizer states that can be efficiently simulated classically while the latter measures non-local correlations. A proper understanding of magic in physically relevant quantum field theories is essential for identifying where quantum advantage may be realized in the early...
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Navya Gupta28/07/2026, 16:501Quantum computing and quantum informationContributed talk
Hamiltonian simulations offer a promising path for computing the nonperturbative real-time dynamics of gauge theories. In this setting, entanglement entropy is both a diagnostic of many-body correlations and, together with other resources, relevant to the cost of representing, preparing, and evolving quantum states. Quantum simulations often employ distinct formulations of the same lattice...
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Abhishek Samlodia (Syracuse University)28/07/2026, 17:101Quantum computing and quantum informationContributed talk
We study quantum spin systems on curved geometries in one and two spatial dimensions using tensor networks method. We investigate the information scrambling properties as well as thermodynamic behavior of these systems including correlation functions and entropy scaling.
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Yao Ting Su29/07/2026, 09:00Quantum computing and quantum informationContributed talk
Abstract:
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One of the key issues in studying quantum many-body systems and quantum field theories is characterizing eigenstates of Hamiltonians. However, the exponential growth of the Hilbert space poses a challenge for classical simulations. Tensor Networks, specifically Matrix Product States (MPS), have emerged as a framework to address this by compactly representing many-body wavefunctions... -
Ethan Laval (University of Southampton)29/07/2026, 09:20Quantum computing and quantum informationContributed talk
The Quantum Approximate Optimization Algorithm (QAOA)[1] is one of the leading variational quantum algorithms used to prepare the ground state of gauge theories. The design of QAOA is under-pinned by the adiabatic theorem. Recently, there has been a proposed variation of QAOA, DC-QAOA[2], that incorporates counterdiabatic driving in order to speed up the adiabatic process, leading to reduced...
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Omar Alsheikh29/07/2026, 09:40Quantum computing and quantum informationContributed talk
We introduce the CaRBM algorithm for fixed-depth thermal state preparation. Our algorithm is based on thermal state purification and uses the Restricted Boltzmann Machine (RBM) block-encoding scheme to implement the imaginary-time propagator $e^{-\beta H}$, which is implemented in the quantum circuit in a fixed-depth manner via Cartan decomposition. Our algorithm performs best at high...
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Hersh Kumar (University of Maryland College Park)29/07/2026, 10:00Quantum computing and quantum informationContributed talk
Preparing low-energy states of lattice gauge theories (LGT) on quantum computers remains a central challenge. Standard approaches such as adiabatic evolution, variational algorithms, and eigenstate filtering are often limited by large circuit depths, closing gaps, costly classical optimization, or the need for high-overlap initial states. Dissipative state preparation offers an alternative...
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Tanmoy Bhattacharya (Los Alamos National Laboratory)29/07/2026, 10:20Quantum computing and quantum informationContributed talk
Quantum data learning (QDL) provides a framework for extracting physical insights directly from quantum states. In this presentation we develop QDL techniques for detecting the phase transition in the 2+1-dimensional toric-code loop-gas model in a magnetic field. Our unsupervised QDL approach recovers the phase structure and locates the phase transition with a small offset as expected in...
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Mattia Morgavi (Universitร degli Studi di Padova)29/07/2026, 11:10Quantum computing and quantum informationContributed talk
We introduce a method for the selective preparation and detection of quasiparticle wave packets, based on creation operators that generate dressed, localized excitations on top of interacting vacua of (quasi-)one-dimensional quantum lattice theories. This method exploits maximally localized Wannier functions (MLWFs) constructed from quasiparticle bands at intermediate system sizes, enabling...
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Michael Hite (University of Arizona)29/07/2026, 11:30Quantum computing and quantum informationContributed talk
In classical simulations of quantum many body systems, entanglement has served as the traditional measure of "quantumness" or computational complexity. This was until the Gottesman-Knill theorem showed that a certain class of quantum states known as stabilizer states, which include some maximally entangled states, can be simulated classically with complexity linear in the number of qubits via...
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Ivan Mauricio Burbano Aldana (University of California, Berkeley and Lawrence Berkeley National Laboratory)29/07/2026, 11:50Quantum computing and quantum informationContributed talk
Real-Time Estimators for Scattering Observables (RESOs) is a proposal for the extraction of scattering amplitudes from simulations on quantum computers. Unlike the Lรผscher family of methods on traditional Lattice QCD, RESOs shows that access to real-time correlators, increasingly achievable through quantum hardware, permits the study of general reactions without formal roadblocks associated to...
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Chung-Chun Hsieh (University of Maryland, College Park)29/07/2026, 12:10Quantum computing and quantum informationContributed talk
Hadronic tensors encode non-perturbative information about hadron structure and scattering dynamics. Quantum computing offers a complementary first-principles approach to kinematic regimes challenging for classical algorithms. As a proof-of-concept study, we investigate the scalar-current hadronic tensor in a deep-inelastic scattering in the Schwinger model. We evaluate the corresponding...
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Andrea Bulgarelli (University of Bonn)30/07/2026, 14:005Quantum computing and quantum informationContributed talk
Simulations of quantum many-body systems based on the Hamiltonian formulation are emerging as a new tool to study phenomena inaccessible with traditional methods. A significant challenge is encoding physical systems in the Hamiltonian formulation, particularly achieving a finite Hilbert space which still accommodates the relevant physics. It has been shown that fuzzy regularization allows one...
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Shoto Aoki (RIKEN iTHEMS)30/07/2026, 14:20Quantum computing and quantum informationContributed talk
We study the lattice Hamiltonian formulation of quantum electrodynamics with staggered fermions and extend the mass-shift construction developed for the Schwinger model to the $(3+1)$-dimensional case. In the Schwinger model, the chiral transformation is realized as a one-site translation of the staggered fermion field. By introducing a correction term, referred to as the mass shift, the...
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Alessio Negro (University of Bonn, HISKP)30/07/2026, 14:40Quantum computing and quantum informationContributed talk
We study confining flux tubes in compact U(1) gauge theory in (2+1) dimensions using matrix product states and a recently introduced plaquette basis for the dual Hamiltonian. For open strings between static charges, we compute both the static potential and the transverse flux-tube profile and compare them with effective string theory predictions. We also determine the potential of closed...
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Christopher Kane (University of Maryland)30/07/2026, 15:001Quantum computing and quantum informationContributed talk
Taking the continuum limit is essential for extracting physical observables from quantum simulations of lattice gauge theories. Achieving this limit requires careful control of all systematic uncertainties, including those from approximate time evolution. Existing methods for product formulas rely on complicated renormalization trajectories because of the dependence on both the lattice spacing...
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Blake Senseman (University of Iowa)30/07/2026, 15:20Quantum computing and quantum informationContributed talk
While real-time simulation of Quantum Chromodynamics remains technologically out of reach, simplified models for studying elements of QCD phenomenology abound. This work aims to add a spin-1 truncation of 1+1D scalar electrodynamics represented on a chain of qutrit sites to the collection of models considered to demonstrate confinement and string breaking accessible to current simulation...
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Lena Funcke (University of Bonn)30/07/2026, 16:10Quantum computing and quantum informationContributed talk
We present a numerical study of the topological $\theta$-term in (3+1)D pure SU(2) Yang-Mills theory in a sign-problem-free Hamiltonian lattice formulation, using exact diagonalization on a single periodic cube and minimal field truncation. In the strong-coupling regime, we uncover distinct $\theta$-dependent phases, signaled by peaks in the topological susceptibility, and sharp variations in...
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Emil Otis Rosanowski30/07/2026, 16:30Quantum computing and quantum information
While Monte-Carlo-based simulations of lattice gauge theories have been remarkably successful across a wide range of applications, they typically break down in physical settings afflicted by the sign problem. One possible path for circumventing the sign problem is quantum simulation, which have shown substantial progress in the last years in simulating $(1+1)$- and $(2+1)$-dimensional...
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Sriram Bharadwaj (University of California, Los Angeles (UCLA))30/07/2026, 16:501Quantum computing and quantum information
We present results on quantum simulations of topological phases in $(2+1)$D lattice QED with one and two fermion flavors, at both zero and finite density. Establishing that staggered fermions fail to host infrared topological phases, we show that Wilson fermions give rise to Chern-Simons physics in the infrared, reflecting consistency with both the lattice Lagrangian and the continuum...
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Zane Ozzello30/07/2026, 17:10Quantum computing and quantum informationContributed talk
In the current landscape of quantum computation, estimating necessary shot totals for desired accuracy is a preeminent question. Here, we introduce the usage of cumulative probability distributions: sums of total probability up to a capped value, working through the entire probability spectrum. These cumulative distributions of Rydberg atom arrays are approximated well by Fermi...
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Jesse Stryker (Lawrence Berkeley National Laboratory)31/07/2026, 14:00Quantum computing and quantum informationContributed talk
We present a quantum simulation of the SU(2) lattice gauge theory in 1+1 dimensions with one flavor of fermions, performed using both Quantinuum's trapped-ion H2-2 hardware and its emulator. This work is based on the loop-string-hadron (LSH) formulation of the gauge theory, and is distinguished by keeping the local bosonic degrees of freedom rather than integrating them out. Furthermore, we...
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Neel Modi (UC Berkeley, Lawrence Berkeley National Lab)31/07/2026, 14:20Quantum computing and quantum informationContributed talk
We introduce a general framework for taking advantage of gauge symmetry to build quantum error-correcting codes (QECCs) that can be applied to Hamiltonian simulations for lattice gauge theories (LGTs) on quantum hardware. Our framework has the following features: (i) reduction of the overhead needed in physical qubits compared to alternative methods; (ii) arbitrary code distance, and therefore...
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Jinghong Yang31/07/2026, 14:401Quantum computing and quantum informationContributed talk
Quantum simulation offers a promising framework for quantum field theory calculations. Obtaining reliable results, however, requires careful characterization of systematic uncertainties. One important source is the boson truncation error, which arises from representing infinite-dimensional local Hilbert spaces with finite-dimensional ones. Previous studies have examined this problem from...
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Jason Elhaderi (University of Illinois, Urbana-Champaign)31/07/2026, 15:00Quantum computing and quantum informationContributed talk
Quantum simulations of $SU(N)$ lattice gauge theory (LGT) in the irrep basis require classical precomputation of Clebsch-Gordan coefficients (CGCs). Strategically choosing the direct-sum basis to maximize the symmetries of the CGCs plausibly translates into gate count reductions for the time-evolution circuit. One such choice occurs when two or more $SU(N)$ irreps in a tensor product are...
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Hiromasa Watanabe (Keio University)31/07/2026, 15:20Quantum computing and quantum informationContributed talk
We study a $q$-deformed ${\rm SU}(N)$ Yang-Mills theory in 2+1 dimensions using the lattice Hamiltonian formalism. The deformation introduces a finite level $k$, which truncates representations and allows the theory to interpolate between a confining regime and a topologically ordered regime. Treating $N$, the Yang-Mills coupling $g$, and $k$ as independent control parameters, we analyze the...
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Xiaoyang Wang (RIKEN-iTHEMS)Quantum computing and quantum informationContributed talk
The $n$-time correlation function is pivotal for establishing connections between theoretical predictions and experimental observations of a quantum system. Conventional methods for computing $n$-time correlation functions on quantum computers, such as the Hadamard test, generally require an ancilla qubit that controls the entire system -- an approach that poses challenges for digital quantum...
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Neill Warrington (MIT)Quantum computing and quantum informationContributed talk
In this talk I present a novel application of lattice field theory to the theory of superconducting quantum hardware. This technique is used to develop and build quantum hardware and is in a sense the opposite of "putting a quantum field theory on a quantum computer". I will present the method and illustrate it with applications to a variety of superconducting quantum devices.
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