Constrained free energy minimization for the design of thermal states and stabilizer thermodynamic systems
- URL: http://arxiv.org/abs/2508.09103v2
- Date: Tue, 07 Oct 2025 10:36:49 GMT
- Title: Constrained free energy minimization for the design of thermal states and stabilizer thermodynamic systems
- Authors: Michele Minervini, Madison Chin, Jacob Kupperman, Nana Liu, Ivy Luo, Meghan Ly, Soorya Rethinasamy, Kathie Wang, Mark M. Wilde,
- Abstract summary: A quantum thermodynamic system is described by a Hamiltonian and a fundamental goal is to determine the minimum energy of the system.<n>Recently, we proposed first- and second-order classical and hybrid quantum-classical algorithms for solving a dual chemical potential problem.<n>We offer an alternative compelling interpretation of these algorithms as methods for designing ground and thermal states of controllable Hamiltonians.
- Score: 7.5954777785427945
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: A quantum thermodynamic system is described by a Hamiltonian and a list of conserved, non-commuting charges, and a fundamental goal is to determine the minimum energy of the system subject to constraints on the charges. Recently, [Liu et al., arXiv:2505.04514] proposed first- and second-order classical and hybrid quantum-classical algorithms for solving a dual chemical potential maximization problem, and they proved that these algorithms converge to global optima by means of gradient-ascent approaches. In this paper, we benchmark these algorithms on several problems of interest in thermodynamics, including one- and two-dimensional quantum Heisenberg models with nearest and next-to-nearest neighbor interactions and with the charges set to the total x, y, and z magnetizations. We also offer an alternative compelling interpretation of these algorithms as methods for designing ground and thermal states of controllable Hamiltonians, with potential applications in molecular and material design. Furthermore, we introduce stabilizer thermodynamic systems as thermodynamic systems based on stabilizer codes, with the Hamiltonian constructed from a given code's stabilizer operators and the charges constructed from the code's logical operators. We benchmark the aforementioned algorithms on several examples of stabilizer thermodynamic systems, including those constructed from the one-to-three-qubit repetition code, the perfect one-to-five-qubit code, and the two-to-four-qubit error-detecting code. Finally, we observe that the aforementioned hybrid quantum-classical algorithms, when applied to stabilizer thermodynamic systems, can serve as alternative methods for encoding qubits into stabilizer codes at a fixed temperature, and we provide an effective method for warm-starting these encoding algorithms whenever a single qubit is encoded into multiple physical qubits.
Related papers
- Thermodynamic significance of QUBO encoding on quantum annealers [0.0]
We study a Job Shop Scheduling instance using a two- parameter family of encodings controlled by penalty weights.<n>We find that the same encoding transitions that govern computational hardness also reorganize dissipation.<n>Our results establish QUBO penalties as thermodynamic control knobs and motivate thermodynamics-aware encoding strategies for noisy intermediate-scale quantum annealers.
arXiv Detail & Related papers (2026-01-07T21:18:54Z) - Learning Feasible Quantum States for Quadratic Constrained Binary Optimization Problems [41.23247424467223]
We develop a variational approach that creates an equal superposition of quantum states that satisfy constraints in a QCBO.<n>The resulting equal superposition can be used as an initial state for quantum algorithms that solve QUBOs/QCBOs.
arXiv Detail & Related papers (2025-08-04T16:44:53Z) - Solving wave equation problems on D-Wave quantum annealers [44.99833362998488]
We solve the one-dimensional Helmholtz equation in several scenarios using the quantum annealer provided by the D-Wave systems within a pseudospectral scheme.<n>We assess the performance of different strategies of encoding based on algebraic arguments and the adiabatic condition.
arXiv Detail & Related papers (2025-07-18T08:06:43Z) - Variational-Adiabatic Quantum Solver for Systems of Linear Equations with Warm Starts [0.0]
We propose a revisited variational quantum solver for linear systems.<n>We define an initial Hamiltonian with a known ground state which is easily implemented on the quantum circuit.<n>We evolve the Hamiltonian by tuning a control variable in such a way that the final ground state matches the solution to the given linear system.
arXiv Detail & Related papers (2025-05-30T07:00:14Z) - Quantum thermodynamics and semi-definite optimization [3.7498611358320733]
In quantum thermodynamics, a system is described by a Hamiltonian and a goal is to determine the system's minimum energy.<n>In optimization theory, a semi-definite program (SDP) involves a linear objective function optimized over the cone of positive semi-definite operators.<n>By adopting Jaynes' mindset motivated by quantum thermodynamics, we observe that minimizing free energy in the aforementioned thermodynamics problem, instead of energy, leads to an elegant solution.
arXiv Detail & Related papers (2025-05-07T15:40:15Z) - 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) - Variational Quantum Subspace Construction via Symmetry-Preserving Cost Functions [39.58317527488534]
We propose a variational strategy based on symmetry-preserving cost functions to iteratively construct a reduced subspace for extraction of low-lying energy states.<n>As a proof of concept, we test the proposed algorithms on H4 chain and ring, targeting both the ground-state energy and the charge gap.
arXiv Detail & Related papers (2024-11-25T20:33:47Z) - Neutron-nucleus dynamics simulations for quantum computers [49.369935809497214]
We develop a novel quantum algorithm for neutron-nucleus simulations with general potentials.
It provides acceptable bound-state energies even in the presence of noise, through the noise-resilient training method.
We introduce a new commutativity scheme called distance-grouped commutativity (DGC) and compare its performance with the well-known qubit-commutativity scheme.
arXiv Detail & Related papers (2024-02-22T16:33:48Z) - 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) - Implementation of a two-stroke quantum heat engine with a collisional
model [50.591267188664666]
We put forth a quantum simulation of a stroboscopic two-stroke thermal engine in the IBMQ processor.
The system consists of a quantum spin chain connected to two baths at their boundaries, prepared at different temperatures using the variational quantum thermalizer algorithm.
arXiv Detail & Related papers (2022-03-25T16:55:08Z) - Optimizing thermalizations [0.0]
We present a rigorous approach, based on the concept of continuous thermomajorisation, to algorithmically characterise the full set of energy occupations of a quantum system.
We illustrate this by finding optimal protocols in the context of cooling, work extraction and optimal sequences.
The same tools also allow one to quantitatively assess the role played by memory effects in the performance of thermodynamic protocols.
arXiv Detail & Related papers (2022-02-25T11:05:39Z) - Quantum-Classical Hybrid Algorithm for the Simulation of All-Electron
Correlation [58.720142291102135]
We present a novel hybrid-classical algorithm that computes a molecule's all-electron energy and properties on the classical computer.
We demonstrate the ability of the quantum-classical hybrid algorithms to achieve chemically relevant results and accuracy on currently available quantum computers.
arXiv Detail & Related papers (2021-06-22T18:00:00Z)
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.