Efficient construction of $\mathbb{Z}_2$ gauge-invariant bases for the Quantum Minimally Entangled Typical Thermal States algorithm
- URL: http://arxiv.org/abs/2603.10932v1
- Date: Wed, 11 Mar 2026 16:17:10 GMT
- Title: Efficient construction of $\mathbb{Z}_2$ gauge-invariant bases for the Quantum Minimally Entangled Typical Thermal States algorithm
- Abstract summary: In quantum computations of gauge theories at finite temperature and finite density, it is challenging to enforce Gauss's law for all states contributing to the thermal ensemble.<n>In this work, we adopt the Quantum Minimally Entangled Typical Thermal States (QMETTS) algorithm for $mathbbZ$ gauge-constrained systems.<n>Our proposed algorithm reproduces the correct equilibrium states at finite temperature and finite density.
- Score: 0.0
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: In quantum computations of gauge theories at finite temperature and finite density, it is challenging to enforce Gauss's law for all states contributing to the thermal ensemble. While various techniques for implementing gauge constraints have been proposed, they often involve practical trade-offs. In this work, we adopt the Quantum Minimally Entangled Typical Thermal States (QMETTS) algorithm for $\mathbb{Z}_2$ gauge-constrained systems, which allows us to capture thermal equilibrium states with chemical potential while mitigating these trade-offs. To ensure that gauge invariance is preserved throughout the procedure while maintaining computational efficiency, we derive the specific measurement bases within the algorithm. Furthermore, since the estimation of expectation values on quantum hardware is inherently noisy, we rigorously account for shot noise in estimating expectation values, and propose a sampling method that is more efficient than those in previous works. We validate our approach numerically by studying a (1+1)-dimensional $\mathbb{Z}_2$ gauge theory coupled to staggered fermions. Our proposed algorithm reproduces the correct equilibrium states at finite temperature and finite density.
Related papers
- Fault tolerant computation of the static structure factor and finite size effects [43.936586633107396]
We develop a quantum post-processing strategy for the leading two-body finite-size correction.<n>After one-body shell effects are reduced by twist averaging, the dominant residual error is controlled by long-wavelength density fluctuations.<n>We also introduce adaptive global and local binary search procedures for identifying the infrared fitting window used to reconstruct the two-body finite size error correction.
arXiv Detail & Related papers (2026-06-26T05:31:08Z) - Fermi-Dirac thermal measurements: A framework for quantum hypothesis testing and semidefinite optimization [12.046119801151619]
We introduce Fermi-Dirac thermal measurements as an alternative to quantum Boltzmann machines based on thermal states.<n>We show how general semidefinite optimization problems can be solved using this approach, leading to a novel paradigm for semidefinite optimization on quantum computers.
arXiv Detail & Related papers (2026-03-04T13:39:46Z) - Efficient Quantum Gibbs Sampling with Local Circuits [0.2796197251957244]
We show a way to implement breakthrough algorithms based on the simulation of well-designed dissipative processes.<n>We rigorously prove that the approximations we use have little effect on rapid mixing at high temperatures.<n>Results provide the first provably efficient quantum thermalization protocol implementable on near-term quantum devices.
arXiv Detail & Related papers (2025-06-04T18:00:02Z) - Practical Application of the Quantum Carleman Lattice Boltzmann Method in Industrial CFD Simulations [44.99833362998488]
This work presents a practical numerical assessment of a hybrid quantum-classical approach to CFD based on the Lattice Boltzmann Method (LBM)<n>We evaluate this method on three benchmark cases featuring different boundary conditions, periodic, bounceback, and moving wall.<n>Our results confirm the validity of the approach, achieving median error fidelities on the order of $10-3$ and success probabilities sufficient for practical quantum state sampling.
arXiv Detail & Related papers (2025-04-17T15:41:48Z) - Variational quantum thermalizers based on weakly-symmetric nonunitary multi-qubit operations [0.0]
Variational Quantum Thermalizers (VQTs) generate the thermal (Gibbs) state of a given Hamiltonian.<n>Current algorithms struggle at intermediate temperatures, where the target state is nonpure but exhibits entanglement.<n>We devise multi-qubit nonunitary operations that harness weak symmetries and thereby improve the performance of the algorithm.
arXiv Detail & Related papers (2025-02-13T19:00:00Z) - Reducing the sampling complexity of energy estimation in quantum many-body systems using empirical variance information [45.18582668677648]
We consider the problem of estimating the energy of a quantum state preparation for a given Hamiltonian in Pauli decomposition.<n>We construct an adaptive estimator using the state's actual variance.
arXiv Detail & Related papers (2025-02-03T19:00:01Z) - Robust Extraction of Thermal Observables from State Sampling and
Real-Time Dynamics on Quantum Computers [49.1574468325115]
We introduce a technique that imposes constraints on the density of states, most notably its non-negativity, and show that this way, we can reliably extract Boltzmann weights from noisy time series.
Our work enables the implementation of the time-series algorithm on present-day quantum computers to study finite temperature properties of many-body quantum systems.
arXiv Detail & Related papers (2023-05-30T18:00:05Z) - Quantum Thermal State Preparation [39.91303506884272]
We introduce simple continuous-time quantum Gibbs samplers for simulating quantum master equations.
We construct the first provably accurate and efficient algorithm for preparing certain purified Gibbs states.
Our algorithms' costs have a provable dependence on temperature, accuracy, and the mixing time.
arXiv Detail & Related papers (2023-03-31T17:29:56Z) - Adaptive variational quantum minimally entangled typical thermal states
for finite temperature simulations [0.0]
We describe and benchmark a quantum computing version of the minimally entangled typical thermal states (METTS) algorithm.
The algorithm, which we name AVQMETTS, dynamically generates compact and problem-specific quantum circuits.
arXiv Detail & Related papers (2023-01-06T16:40:06Z) - Toward Exploring Phase Diagrams of Gauge Theories on Quantum Computers
with Thermal Pure Quantum States [0.0]
We present an approach for quantum computing finite-temperature lattice gauge theories at non-zero density.
Our approach allows for sign-problem-free quantum computations of thermal expectation values and non-equal time correlation functions.
arXiv Detail & Related papers (2022-12-21T22:10:12Z) - Probing finite-temperature observables in quantum simulators of spin
systems with short-time dynamics [62.997667081978825]
We show how finite-temperature observables can be obtained with an algorithm motivated from the Jarzynski equality.
We show that a finite temperature phase transition in the long-range transverse field Ising model can be characterized in trapped ion quantum simulators.
arXiv Detail & Related papers (2022-06-03T18:00:02Z) - Reducing the cost of energy estimation in the variational quantum
eigensolver algorithm with robust amplitude estimation [50.591267188664666]
Quantum chemistry and materials is one of the most promising applications of quantum computing.
Much work is still to be done in matching industry-relevant problems in these areas with quantum algorithms that can solve them.
arXiv Detail & Related papers (2022-03-14T16:51:36Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.