3,549 research outputs found
Fault Tolerant Filtering and Fault Detection for Quantum Systems Driven By Fields in Single Photon States
The purpose of this paper is to solve a fault tolerant filtering and fault
detection problem for a class of open quantum systems driven by a
continuous-mode bosonic input field in single photon states when the systems
are subject to stochastic faults. Optimal estimates of both the system
observables and the fault process are simultaneously calculated and
characterized by a set of coupled recursive quantum stochastic differential
equations.Comment: arXiv admin note: text overlap with arXiv:1504.0678
Fault tolerant filtering and fault detection for quantum systems driven by fields in single photon states
The purpose of this paper is to solve the fault tolerant filtering and fault detection problem for a class of open quantum systems driven by a continuous-mode bosonic input field in single photon states when the systems are subject to stochastic faults. Optimal estimates of both the system observables and the fault process are simultaneously calculated and characterized by a set of coupled recursive quantum stochastic differential equations
Fault-Tolerant Control of Linear Quantum Stochastic Systems
In quantum engineering, faults may occur in a quantum control system, which
will cause the quantum control system unstable or deteriorate other relevant
performance of the system. This note presents an estimator-based fault-tolerant
control design approach for a class of linear quantum stochastic systems
subject to fault signals. In this approach, the fault signals and some
commutative components of the quantum system observables are estimated, and a
fault-tolerant controller is designed to compensate the effect of the fault
signals. Numerical procedures are developed for controller design and an
example is presented to demonstrate the proposed design approach.Comment: 7 pages, 1 figur
Experimental Bayesian Quantum Phase Estimation on a Silicon Photonic Chip
Quantum phase estimation is a fundamental subroutine in many quantum
algorithms, including Shor's factorization algorithm and quantum simulation.
However, so far results have cast doubt on its practicability for near-term,
non-fault tolerant, quantum devices. Here we report experimental results
demonstrating that this intuition need not be true. We implement a recently
proposed adaptive Bayesian approach to quantum phase estimation and use it to
simulate molecular energies on a Silicon quantum photonic device. The approach
is verified to be well suited for pre-threshold quantum processors by
investigating its superior robustness to noise and decoherence compared to the
iterative phase estimation algorithm. This shows a promising route to unlock
the power of quantum phase estimation much sooner than previously believed
- …