Robust implicit quantum control of interacting spin chains
- URL: http://arxiv.org/abs/2412.05656v1
- Date: Sat, 07 Dec 2024 14:00:52 GMT
- Title: Robust implicit quantum control of interacting spin chains
- Authors: Luca Stefanescu, Louis Edwards-Pratt, Jeremy O'Connor, Ezra Tsegaye, Nguyen H. Le, Florian Mintert,
- Abstract summary: This paper exploits quantum control that avoids explicit reference to quantum states in exponentially large Hilbert space.
Exemplary control protocols for spin chains are discussed in terms of noise-resilient preparation of highly entangled states.
- Score: 0.0
- License:
- Abstract: Robust quantum control can achieve noise-resilience of quantum systems and quantum technological devices. While the need for noise-resilience grows with the number of fluctuating quantities, and thus typically with the number of qubits, most numerically exact optimal control techniques are limited to systems of few interacting qubits. This paper exploits quantum control that avoids explicit reference to quantum states in exponentially large Hilbert space. Exemplary control protocols for spin chains are discussed in terms of noise-resilient preparation of highly entangled states.
Related papers
- Diverse methods and practical aspects in controlling single semiconductor qubits: a review [1.1549572298362787]
Quantum control allows a wide range of quantum operations employed in molecular physics, nuclear magnetic resonance and quantum information processing.
Semiconducting qubits, where quantum information is encoded in spin or charge degree freedom of electrons or nuclei in semiconductor quantum dots, constitute a highly competitive candidate for scalable solid-state quantum technologies.
arXiv Detail & Related papers (2024-12-04T12:58:49Z) - Quantum control by the environment: Turing uncomputability, Optimization over Stiefel manifolds, Reachable sets, and Incoherent GRAPE [56.47577824219207]
In many practical situations, the controlled quantum systems are open, interacting with the environment.
In this note, we briefly review some results on control of open quantum systems using environment as a resource.
arXiv Detail & Related papers (2024-03-20T10:09:13Z) - Power Characterization of Noisy Quantum Kernels [52.47151453259434]
We show that noise may make quantum kernel methods to only have poor prediction capability, even when the generalization error is small.
We provide a crucial warning to employ noisy quantum kernel methods for quantum computation.
arXiv Detail & Related papers (2024-01-31T01:02:16Z) - Trade-off between Noise and Banding in a Quantum Adder with Qudits [0.0]
Quantum addition based on the quantum Fourier transform can be an integral part of a quantum circuit.
We analytically prove an upper bound on the number of the controlled rotation gates required to accomplish the quantum addition up to an arbitrary defect.
We demonstrate that utilizing magnetic fields to prepare an initial state that evolves according to a one-dimensional spin chain can be a potential technique to implement quantum addition circuits in many-body systems.
arXiv Detail & Related papers (2023-10-17T18:22:23Z) - Quantum Crosstalk Robust Quantum Control [0.0]
We develop a condition for achieving crosstalk-robust single-qubit control of multi-qubit systems.
The efficacy of the condition is illustrated in the domains of quantum state preservation and noise characterization.
arXiv Detail & Related papers (2022-08-11T18:00:01Z) - Self-Correcting Quantum Many-Body Control using Reinforcement Learning
with Tensor Networks [0.0]
We present a novel framework for efficiently controlling quantum many-body systems based on reinforcement learning (RL)
We show that RL agents are capable of finding universal controls, of learning how to optimally steer previously unseen many-body states, and of adapting control protocols on-thefly when the quantum dynamics is subject to perturbations.
arXiv Detail & Related papers (2022-01-27T20:14:09Z) - Efficient criteria of quantumness for a large system of qubits [58.720142291102135]
We discuss the dimensionless combinations of basic parameters of large, partially quantum coherent systems.
Based on analytical and numerical calculations, we suggest one such number for a system of qubits undergoing adiabatic evolution.
arXiv Detail & Related papers (2021-08-30T23:50:05Z) - Direct Quantum Communications in the Presence of Realistic Noisy
Entanglement [69.25543534545538]
We propose a novel quantum communication scheme relying on realistic noisy pre-shared entanglement.
Our performance analysis shows that the proposed scheme offers competitive QBER, yield, and goodput.
arXiv Detail & Related papers (2020-12-22T13:06:12Z) - Robust control of quantum systems by quantum systems [0.0]
coherent quantum control is deterministic, is less noisy than measurement-based feedback control, and has potential applications in a variety of quantum technologies.
We introduce a coherent feedback protocol, consisting of a sequence of identical interactions with controlling quantum systems.
We provide an example of a control scheme that does not require knowledge of the target state encoded in the controllers, which could be the result of a quantum computation.
arXiv Detail & Related papers (2020-12-03T15:22:37Z) - Entanglement transfer, accumulation and retrieval via quantum-walk-based
qubit-qudit dynamics [50.591267188664666]
Generation and control of quantum correlations in high-dimensional systems is a major challenge in the present landscape of quantum technologies.
We propose a protocol that is able to attain entangled states of $d$-dimensional systems through a quantum-walk-based it transfer & accumulate mechanism.
In particular, we illustrate a possible photonic implementation where the information is encoded in the orbital angular momentum and polarization degrees of freedom of single photons.
arXiv Detail & Related papers (2020-10-14T14:33:34Z) - Entanglement Classification via Neural Network Quantum States [58.720142291102135]
In this paper we combine machine-learning tools and the theory of quantum entanglement to perform entanglement classification for multipartite qubit systems in pure states.
We use a parameterisation of quantum systems using artificial neural networks in a restricted Boltzmann machine (RBM) architecture, known as Neural Network Quantum States (NNS)
arXiv Detail & Related papers (2019-12-31T07:40:23Z)
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.