Our Mission

IQuS aims to improve understanding of strongly interacting, correlated matter and complex quantum systems of importance to nuclear physics and quantum information science, from the familiar to the exotic, using quantum simulations and emerging theoretical techniques where quantum entanglement and coherence are essential ingredients. Local researchers, visitors, and community-driven workshops at the Institute of Nuclear Theory, along with close connections with national laboratories and technology companies, will help create and disseminate new ideas and grow a quantum-ready workforce.

Seeking Proposals for IQuS Workshops in 2024

We are now accepting proposals for workshops to be held at IQuS during 2024 to tackle forefront challenges at the interface of quantum information science, quantum many-body physics and quantum field theory. We are particular interested in proposals aimed toward identifying unique phenomenology of quantum information that could be revealed in NP experiments, or a focus on achieving a quantum advantage for key NP observables. Please submit your proposal through this website before August 1 to be considered for workshops during 2024.

News

Scalable quantum circuits are used to prepare the vacuum of the Schwinger model on 100 qubits of IBM’s superconducting-qubit quantum computers

**Roland Farrell, Marc Illa, Anthony Ciavarella and Martin Savage,**
**e-Print: 2308.04481 [quant-ph]**

Learn more about IQuS

Multi-Neutrino Entanglement and Correlations in Dense Neutrino Systems

The time-evolution of multi-neutrino entanglement and correlations are studied in collective neutrino oscillations, relevant for dense neutrino environments. Quantum simulations performed of systems with up to 12 neutrinos using Quantinuum’s H1-1 20 qubit trapped-ion quantum computer are used to compute n-tangles, and 2- and 3-body correlations, probing beyond mean field descriptions. n-tangle re-scalings are found to converge for large system sizes.

by Marc Illa and Martin Savage

A joint QSC-IQuS project

IQuS Publications

Gauge Invariance of Non-Abelian Field Strength Correlators: the Axial Gauge Puzzle

We have taken a step forward in the study of the properties of quarks and gluons, the particles that make up atomic nuclei, by resolving a long-standing issue with a theoretical calculation in axial gauge. IQuS and MIT researchers found that previous calculations had mistakenly suggested two properties of quark-gluon plasma were identical. We also made a prediction about gluon distribution measurements that could be tested in future experiments at the Electron-Ion Collider (EIC).

Gauge Invariance of Non-Abelian Field Strength Correlators: the Axial Gauge Puzzle

Randomized measurement protocols for lattice gauge theories

Randomized measurement protocols, including classical shadows, entanglement tomography, and randomized benchmarking are powerful techniques to estimate observables, perform state tomography, or extract the entanglement properties of quantum states. Quantum systems in nature are often tightly constrained by symmetries. This can be leveraged by the symmetry-conscious randomized measurement schemes, yielding clear advantages over symmetry-blind randomization such as reducing measurement costs, enabling symmetry-based error mitigation in experiments, allowing differentiated measurement of (lattice) gauge theory entanglement structure, and, potentially, the verification of topologically ordered states in existing and near-term experiments.

by Jacob Bringewatt, Jonathan Kunjummen, Niklas Mueller

IQuS Publications

SU(2) Non-Abelian Gauge Theory on a Plaquette Chain Obeys Eigenstate Thermalization Hypothesis

The eigenstate thermalization hypothesis (ETH) for 2+1 dimensional SU(2) lattice gauge theory is examined. By considering the theory on a chain of plaquettes and truncating basis states for link variables at j=1/2, it can be onto an Ising chain and numerically exactly diagonalize the Hamiltonian for reasonably large lattice sizes. We find energy level repulsion in momentum sectors with no remaining discrete symmetries. Our study implies a subset of states in the physical Hilbert space of Quantum Chromodynamics (QCD) obeys the ETH.

IQuS Workshop: Fall 2024

IQuS Workshop: Next-Generation Computing for Low-Energy Nuclear Physics: from Machine Learning to Quantum Computing

Organizers: Zohreh Davoudi (U. of Maryland), Ubirajara van Kolck (U. of Arizona and Université Paris-Saclay), Silas Beane (UW), and Maria Piarulli (Washington U.)

Administation: Katie Hennessey

Both lattice QCD and ab initio many-body methods generally require beyond-exascale classical computation, and are expected to be facilitated by machine learning and quantum computing techniques. Ideas in quantum information science , such as the role of entanglement in nuclear processes, can impact our understanding of nuclear phenomena.

Preparations for Quantum Simulations of Quantum Chromodynamics in 1+1 Dimensions: (II) Single-Baryon β-Decay in Real Time

A framework for quantum simulations of real-time weak decays of hadrons and nuclei in a 2-flavor lattice theory in one spatial dimension is presented. Both quantum chromodynamics and flavor-changing weak interactions are included in the dynamics, the latter through four-Fermi effective operators. Quantum circuits which implement time evolution are developed and run on Quantinuum’s H1-1 20- qubit trapped ion system to simulate the β-decay of a single baryon on one lattice site. The potential intrinsic error-correction properties of this type of lattice theory are discussed and the leading lattice Hamiltonian required to simulate 0νββ-decay of nuclei induced by a neutrino Majorana mass term is provided.

by Roland Farrell, Ivan Chernyshev, Sarah Powell, Nikita Zemlevskiy, Marc Illa and Martin Savage

A joint QSC-IQuS project

IQuS Publication

Floquet Engineering Heisenberg from Ising Using Constant Drive Fields for Quantum Simulation

The time-evolution of an Ising model with large driving fields over discrete time intervals is shown to be reproduced by an effective XXZ-Heisenberg model at leading order in the inverse field strength. For specific orientations of the drive field, the dynamics of the XXX-Heisenberg model is reproduced. These approximate equivalences are expected to enable quantum devices that natively evolve qubits according to the Ising model to simulate more complex systems.

by Anthony Ciavarella, Stephan Caspar, Hersh Singh, Martin Savage, Pavel Lougovski

A joint FNAL_Quantised-IQuS-INT project

IQuS Publications

Quantum Simulations in Effective Model Spaces (I): Hamiltonian Learning-VQE using Digital Quantum Computers and Application to the Lipkin-Meshkov-Glick Model

We introduce an iterative hybrid-classical-quantum algorithm, Hamiltonian learning variational quantum eigensolver (HL-VQE), that simultaneously optimizes an effective Hamiltonian, thereby rearranging entanglement into the effective model space, and the associated ground-state wavefunction. HL-VQE is found to provide an exponential improvement in Lipkin-Meshkov-Glick model calculations throughout a significant fraction of the Hilbert space. Quantum simulations are implemented on IBM’s QExperience quantum computers and simulators for 1- and 2-qubit effective model spaces , and are shown to provide accurate and precise results, reproducing classical predictions.

Quantum Simulations in Effective Model Spaces (I): Hamiltonian Learning-VQE using Digital Quantum Computers and Application to the Lipkin-Meshkov-Glick Model

InQubator for Quantum Simulation

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Our Mission

News

Scalable quantum circuits are used to prepare the vacuum of the Schwinger model on 100 qubits of IBM’s superconducting-qubit quantum computers

Highlights

Multi-Neutrino Entanglement and Correlations in Dense Neutrino Systems

Gauge Invariance of Non-Abelian Field Strength Correlators: the Axial Gauge Puzzle

Randomized measurement protocols for lattice gauge theories

SU(2) Non-Abelian Gauge Theory on a Plaquette Chain Obeys Eigenstate Thermalization Hypothesis

IQuS Workshop: Next-Generation Computing for Low-Energy Nuclear Physics: from Machine Learning to Quantum Computing

Preparations for Quantum Simulations of Quantum Chromodynamics in 1+1 Dimensions: (II) Single-Baryon β-Decay in Real Time

Floquet Engineering Heisenberg from Ising Using Constant Drive Fields for Quantum Simulation

Quantum Simulations in Effective Model Spaces (I): Hamiltonian Learning-VQE using Digital Quantum Computers and Application to the Lipkin-Meshkov-Glick Model

Upcoming Events

From qubits to qutrits: entanglement of astrophysical neutrinosSeminar

IQuS seminar: Chris KaneSeminar

IQuS seminar: Soumik BandyopadhyaySeminar

IQuS seminar: Wanqiang LiuSeminar

IQuS seminar: Andrea DelgadoSeminar

DOE Office of Nuclear Physics

UW Department of Physics

UW College of Arts & Sciences