Inverse designed Hamiltonians for perfect state transfer and remote entanglement generation, and applications in superconducting qubits
- URL: http://arxiv.org/abs/2510.13584v1
- Date: Wed, 15 Oct 2025 14:16:51 GMT
- Title: Inverse designed Hamiltonians for perfect state transfer and remote entanglement generation, and applications in superconducting qubits
- Authors: Tian-Le Wang, Ze-An Zhao, Peng Wang, Sheng Zhang, Ren-Ze Zhao, Xiao-Yan Yang, Hai-Feng Zhang, Zhi-Fei Li, Yuan Wu, Peng Duan, Ming Gong, Guo-Ping Guo,
- Abstract summary: Hamiltonian inverse engineering enables the design of protocols for specific quantum evolutions or target state preparation.<n>We construct a class of Hamiltonians, referred to as the dome model, that significantly improves the system's robustness against noise.<n>Our work is particularly suited for demonstration on superconducting qubits with tunable couplers, which enable rapid and flexible Hamiltonian engineering.
- Score: 17.409153512099138
- License: http://creativecommons.org/licenses/by-sa/4.0/
- Abstract: Hamiltonian inverse engineering enables the design of protocols for specific quantum evolutions or target state preparation. Perfect state transfer (PST) and remote entanglement generation are notable examples, as they serve as key primitives in quantum information processing. However, Hamiltonians obtained through conventional methods often lack robustness against noise. Assisted by inverse engineering, we begin with a noise-resilient energy spectrum and construct a class of Hamiltonians, referred to as the dome model, that significantly improves the system's robustness against noise, as confirmed by numerical simulations. This model introduces a tunable parameter $m$ that modifies the energy-level spacing and gives rise to a well-structured Hamiltonian. It reduces to the conventional PST model at $m=0$ and simplifies to a SWAP model involving only two end qubits in the large-$m$ regime. To address the challenge of scalability, we propose a cascaded strategy that divides long-distance PST into multiple consecutive PST steps. Our work is particularly suited for demonstration on superconducting qubits with tunable couplers, which enable rapid and flexible Hamiltonian engineering, thereby advancing the experimental potential of robust and scalable quantum information processing.
Related papers
- Diffusion-Enhanced Optimization of Variational Quantum Eigensolver for General Hamiltonians [17.975555487972166]
Variational quantum algorithms (VQAs) have emerged as a promising approach for achieving quantum advantage on current noisy quantum devices.<n>However, their large-scale applications are significantly hindered by optimization challenges, such as the barren plateau (BP) phenomenon, local minima, and numerous iteration demands.<n>In this work, we leverage denoising diffusion models (DMs) to address these difficulties.
arXiv Detail & Related papers (2025-01-10T02:32:46Z) - Robust analog quantum simulators by quantum error-detecting codes [22.034646136056804]
We provide a recipe for error-resilient Hamiltonian simulations, making use of an excited encoding subspace stabilized by solely $2$-local commuting Hamiltonians.<n>Our method is scalable as it only requires penalty terms that scale to system size.
arXiv Detail & Related papers (2024-12-10T18:58:05Z) - Fourier Neural Operators for Learning Dynamics in Quantum Spin Systems [77.88054335119074]
We use FNOs to model the evolution of random quantum spin systems.
We apply FNOs to a compact set of Hamiltonian observables instead of the entire $2n$ quantum wavefunction.
arXiv Detail & Related papers (2024-09-05T07:18:09Z) - Quantum Simulation of Boson-Related Hamiltonians: Techniques, Effective Hamiltonian Construction, and Error Analysis [4.533969990771866]
This tutorial review focuses on encoding and simulating certain bosonic-related model Hamiltonians.<n>We discuss recently developed quantum algorithms for these interacting models and the construction of effective Hamiltonians.
arXiv Detail & Related papers (2023-07-13T06:46:25Z) - Robust Hamiltonian Engineering for Interacting Qudit Systems [50.591267188664666]
We develop a formalism for the robust dynamical decoupling and Hamiltonian engineering of strongly interacting qudit systems.
We experimentally demonstrate these techniques in a strongly-interacting, disordered ensemble of spin-1 nitrogen-vacancy centers.
arXiv Detail & Related papers (2023-05-16T19:12:41Z) - Quantum emulation of the transient dynamics in the multistate
Landau-Zener model [50.591267188664666]
We study the transient dynamics in the multistate Landau-Zener model as a function of the Landau-Zener velocity.
Our experiments pave the way for more complex simulations with qubits coupled to an engineered bosonic mode spectrum.
arXiv Detail & Related papers (2022-11-26T15:04:11Z) - Model predictive control for robust quantum state preparation [4.069849286089743]
We introduce model predictive control (MPC) for quantum control applications.
MPC inherits a natural degree of disturbance rejection by incorporating measurement feedback.
We show how MPC can be used to generate practical optimized control sequences.
arXiv Detail & Related papers (2022-01-14T00:55:41Z) - Verifying quantum information scrambling dynamics in a fully
controllable superconducting quantum simulator [0.0]
We study the verified scrambling in a 1D spin chain by an analogue superconducting quantum simulator with the signs and values of individual driving and coupling terms fully controllable.
Our work demonstrates the superconducting system as a powerful quantum simulator.
arXiv Detail & Related papers (2021-12-21T13:41:47Z) - Simulating the Mott transition on a noisy digital quantum computer via
Cartan-based fast-forwarding circuits [62.73367618671969]
Dynamical mean-field theory (DMFT) maps the local Green's function of the Hubbard model to that of the Anderson impurity model.
Quantum and hybrid quantum-classical algorithms have been proposed to efficiently solve impurity models.
This work presents the first computation of the Mott phase transition using noisy digital quantum hardware.
arXiv Detail & Related papers (2021-12-10T17:32:15Z) - Variational Adiabatic Gauge Transformation on real quantum hardware for
effective low-energy Hamiltonians and accurate diagonalization [68.8204255655161]
We introduce the Variational Adiabatic Gauge Transformation (VAGT)
VAGT is a non-perturbative hybrid quantum algorithm that can use nowadays quantum computers to learn the variational parameters of the unitary circuit.
The accuracy of VAGT is tested trough numerical simulations, as well as simulations on Rigetti and IonQ quantum computers.
arXiv Detail & Related papers (2021-11-16T20:50:08Z) - Algebraic Compression of Quantum Circuits for Hamiltonian Evolution [52.77024349608834]
Unitary evolution under a time dependent Hamiltonian is a key component of simulation on quantum hardware.
We present an algorithm that compresses the Trotter steps into a single block of quantum gates.
This results in a fixed depth time evolution for certain classes of Hamiltonians.
arXiv Detail & Related papers (2021-08-06T19:38:01Z)
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.