Physics-based mathematical models for quantum devices via experimental system identification

Abstract

We consider the task of intrinsic control system identification for quantum devices. The problem of experimental determination of subspace confinement is considered, and simple general strategies for full Hamiltonian identification and decoherence characterization of a controlled two-level system are presented.

15 pages, 8 figures, published in proceedings of workshop on Physics-based mathematical models of low-dimensional semi-conductor nanostructures (18-23 November, 2007, Banff International Research Station, Alberta, Canada)

References in corpus (14)

• Prescription for experimental determination of the dynamics of a quantum black box
• Complete Characterization of a Quantum Process: the Two-Bit Quantum Gate
• Charge-qubit operation of an isolated double quantum dot
• Qudit Quantum State Tomography
• Choi's Proof and Quantum Process Tomography
• A Robust Method for Estimating the Lindblad Operators of a Dissipative Quantum Process from Measurements of the Density Operator at Multiple Time Points
• Identifying an Experimental Two-State Hamiltonian to Arbitrary Accuracy
• Experimental Hamiltonian identification for controlled two-level systems
• Scheme for direct measurement of a general two-qubit Hamiltonian
• Identifying a Two-State Hamiltonian in the Presence of Decoherence
• Optimal Experiment Design for Quantum State and Process Tomography and Hamiltonian Parameter Estimation
• Quantum-Dot Cellular Automata using Buried Dopants
• Subspace Confinement: How good is your qubit?
• Precision characterisation of two-qubit Hamiltonians via entanglement mapping

Cited by in corpus (8)

• Coupling strength estimation for spin chains despite restricted access
• Indirect Hamiltonian Identification through a small gateway
• Two-Qubit Hamiltonian Tomography by Bayesian Analysis of Noisy Data
• Quantum Hamiltonian Identification with Classical Colored Measurement Noise
• Robustly learning the Hamiltonian dynamics of a superconducting quantum processor
• Quantum system characterization with limited resources
• Quantum System Identification: Hamiltonian Estimation using Spectral and Bayesian Analysis
• Characterization and Control of Quantum Spin Chains and Rings