Adaptive Circuit Learning for Quantum Metrology
arXiv:2010.08702 · doi:10.1109/QCE52317.2021.00063
Abstract
Quantum sensing is an important application of emerging quantum technologies. We explore whether a hybrid system of quantum sensors and quantum circuits can surpass the classical limit of sensing. In particular, we use optimization techniques to search for encoder and decoder circuits that scalably improve sensitivity under given application and noise characteristics. Our approach uses a variational algorithm that can learn a quantum sensing circuit based on platform-specific control capacity, noise, and signal distribution. The quantum circuit is composed of an encoder which prepares the optimal sensing state and a decoder which gives an output distribution containing information of the signal. We optimize the full circuit to maximize the Signal-to-Noise Ratio (SNR). Furthermore, this learning algorithm can be run on real hardware scalably by using the "parameter-shift" rule which enables gradient evaluation on noisy quantum circuits, avoiding the exponential cost of quantum system simulation. We demonstrate up to 13.12x SNR improvement over existing fixed protocol (GHZ), and 3.19x Classical Fisher Information (CFI) improvement over the classical limit on 15 qubits using IBM quantum computer. More notably, our algorithm overcomes the decreasing performance of existing entanglement-based protocols with increased system sizes.
arXiv comment12 pages, 11 figures
References in corpus (37)
- Quantum sensing
- Advances in Quantum Metrology
- Quantum-enhanced measurements: beating the standard quantum limit
- Hardware-efficient Variational Quantum Eigensolver for Small Molecules and Quantum Magnets
- The nitrogen-vacancy colour centre in diamond
- Nanometer scale quantum thermometry in a living cell
- A Quantum Approximate Optimization Algorithm
- Quantum machine learning in feature Hilbert spaces
- Quantum metrology with nonclassical states of atomic ensembles
- Search for New Physics with Atoms and Molecules
- Sensing electric fields using single diamond spins
- Sensitivity Optimization for NV-Diamond Magnetometry
- Enhancing the sensitivity of the LIGO gravitational wave detector by using squeezed states of light
- Quantum metrology from a quantum information science perspective
- Solid-state electronic spin coherence time approaching one second
- High precision nano scale temperature sensing using single defects in diamond
- Dark Matter and Dark Energy
- A 10-qubit solid-state spin register with quantum memory up to one minute
- High Resolution Magnetic Resonance Spectroscopy Using Solid-State Spins
- Mesoscopic atomic entanglement for precision measurements beyond the standard quantum limit
- States of an Ensemble of Two-Level Atoms with Reduced Quantum Uncertainty
- JILA SrI Optical Lattice Clock with Uncertainty of
- Quantum sensing with arbitrary frequency resolution
- Broadband Magnetometry and Temperature Sensing with a Light Trapping Diamond Waveguide
- Atomic-scale imaging of a 27-nuclear-spin cluster using a single-spin quantum sensor
- Hybrid Quantum-Classical Approach to Quantum Optimal Control
- Achieving the Heisenberg limit in quantum metrology using quantum error correction
- Distributed Quantum Metrology and the Entangling Power of Linear Networks
- Quantum correlations between the light and kilogram-mass mirrors of LIGO
- How do you know if you ran through a wall?
- Variational spin-squeezing algorithms on programmable quantum sensors
- Near-Unitary Spin Squeezing in Yb
- A variational toolbox for quantum multi-parameter estimation
- Environment Assisted Precision Measurement
- Spin Amplification for Magnetic Sensors Employing Crystal Defects
- Ramsey interferometry with generalized one-axis twisting echoes
- Probe optimization for quantum metrology via closed-loop learning control