Quantum Optimal Control Using MAGICARP: Combining Pontryagin's Maximum Principle and Gradient Ascent
- URL: http://arxiv.org/abs/2505.21203v1
- Date: Tue, 27 May 2025 13:50:21 GMT
- Title: Quantum Optimal Control Using MAGICARP: Combining Pontryagin's Maximum Principle and Gradient Ascent
- Authors: Denis Janković, Jean-Gabriel Hartmann, Paul-Louis Etienney, Killian Lutz, Yannick Privat, Paul-Antoine Hervieux,
- Abstract summary: We introduce the MAGICARP algorithm, a numerical optimization method for quantum optimal control problems.<n> MAGICARP is formulated as a "shooting technique", aiming to determine the appropriate initial adjoint momentum to realize a target quantum gate.
- Score: 0.49478969093606673
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: We introduce the MAGICARP algorithm, a numerical optimization method for quantum optimal control problems that combines the structure provided by Pontryagin's Maximum Principle (PMP) and the robustness of gradient ascent techniques, such as GRAPE. MAGICARP is formulated as a "shooting technique", aiming to determine the appropriate initial adjoint momentum to realize a target quantum gate. This method naturally incorporates time and energy optimal constraints through a PMP-informed pulse structure. We demonstrate MAGICARP's effectiveness through illustrative numerical examples, comparing its performance to GRAPE and highlighting its advantages in specific scenarios.
Related papers
- Quantum Optimal Control for Coherent Spin Dynamics of Radical Pairs via Pontryagin Maximum Principle [0.0]
This paper aims at devising the shape of the external electromagnetic field which drives the spin dynamics of radical pairs to a coherent state.<n>A new iterative Pontryagin Maximum Principle (IPMP) method for the identification of the bang-bang optimal control is developed.<n>The results open a venue for a potential experimental work for the magnetoreception as a manifestation of biological phenomena.
arXiv Detail & Related papers (2025-08-03T15:42:09Z) - A Quantum Genetic Algorithm Framework for the MaxCut Problem [49.59986385400411]
The proposed method introduces a Quantum Genetic Algorithm (QGA) using a Grover-based evolutionary framework and divide-and-conquer principles.<n>On complete graphs, the proposed method consistently achieves the true optimal MaxCut values, outperforming the Semidefinite Programming (SDP) approach.<n>On ErdHos-R'enyi random graphs, the QGA demonstrates competitive performance, achieving median solutions within 92-96% of the SDP results.
arXiv Detail & Related papers (2025-01-02T05:06:16Z) - Gradient projection method for constrained quantum control [50.24983453990065]
We adopt the Gradient Projection Method (GPM) to problems of quantum control.<n>The main advantage of the method is that it allows to exactly satisfy the bounds.<n>We apply the GPM to several examples including generation of one- and two-qubit gates and two-qubit Bell and Werner states.
arXiv Detail & Related papers (2024-11-29T11:56:55Z) - Application of Langevin Dynamics to Advance the Quantum Natural Gradient Optimization Algorithm [47.47843839099175]
A Quantum Natural Gradient (QNG) algorithm for optimization of variational quantum circuits has been proposed recently.<n>Momentum-QNG is more effective to escape local minima and plateaus in the variational parameter space.
arXiv Detail & Related papers (2024-09-03T15:21:16Z) - Efficient DCQO Algorithm within the Impulse Regime for Portfolio
Optimization [41.94295877935867]
We propose a faster digital quantum algorithm for portfolio optimization using the digitized-counterdiabatic quantum optimization (DCQO) paradigm.
Our approach notably reduces the circuit depth requirement of the algorithm and enhances the solution accuracy, making it suitable for current quantum processors.
We experimentally demonstrate the advantages of our protocol using up to 20 qubits on an IonQ trapped-ion quantum computer.
arXiv Detail & Related papers (2023-08-29T17:53:08Z) - GRAPE optimization for open quantum systems with time-dependent
decoherence rates driven by coherent and incoherent controls [77.34726150561087]
The GRadient Ascent Pulse Engineering (GRAPE) method is widely used for optimization in quantum control.
We adopt GRAPE method for optimizing objective functionals for open quantum systems driven by both coherent and incoherent controls.
The efficiency of the algorithm is demonstrated through numerical simulations for the state-to-state transition problem.
arXiv Detail & Related papers (2023-07-17T13:37:18Z) - Quantum State Transfer Optimization: Balancing Fidelity and Energy
Consumption using Pontryagin Maximum Principle [1.0819408603463425]
We aim to navigate a quantum system from an initial state to a desired state while adhering to the principles of the Liouville-von Neumann equation.
We derive optimality conditions in the form of the Pontryagin Principle (PMP) for the matrix-valued dynamics associated with this problem.
We present a time-discretized computational scheme designed to solve the optimal control problem.
arXiv Detail & Related papers (2023-01-30T12:53:48Z) - Chattering Phenomenon in Quantum Optimal Control [0.0]
We present a quantum optimal control problem which exhibits a chattering phenomenon.
We characterize the local optimal synthesis, which is then globalized by a suitable numerical algorithm.
arXiv Detail & Related papers (2022-06-28T10:13:49Z) - Optimal Control for Quantum Metrology via Pontryagin's principle [8.920103626492315]
We apply Pontryagin's Maximum Principle to determine the optimal protocol that maximizes the quantum Fisher information for a given evolution time.
The proposed formalism is generalized to problems with control constraints, and can also be used to maximize the classical Fisher information for a chosen measurement.
arXiv Detail & Related papers (2021-05-14T16:22:57Z) - Stochastic optimal control formalism for an open quantum system [15.076862040458124]
A procedure is developed which allows one to express Pontryagin's maximum principle for dissipative quantum system.
Time-optimal computing controls can be efficiently computed without the density matrix.
arXiv Detail & Related papers (2020-11-06T15:37:51Z) - Direct Optimal Control Approach to Laser-Driven Quantum Particle
Dynamics [77.34726150561087]
We propose direct optimal control as a robust and flexible alternative to indirect control theory.
The method is illustrated for the case of laser-driven wavepacket dynamics in a bistable potential.
arXiv Detail & Related papers (2020-10-08T07:59:29Z)
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.