Information Processing Capacity of Spin-Based Quantum Reservoir Computing Systems

Quantum Information Processing in Multi-Spin Systems

Coherence and entanglement in multi-spin systems are valuable resources for quantum information processing. In this thesis, I explore the manipulation of quantum information in complex multi-spin systems, with particular reference to Nuclear Magnetic Resonance implementations. In systems with a few spins, such as molecules in the liquid phase, the use of multi-spin coherent states provides a he...

Optimal nonlinear information processing capacity in delay-based reservoir computers

Reservoir computing is a recently introduced brain-inspired machine learning paradigm capable of excellent performances in the processing of empirical data. We focus in a particular kind of time-delay based reservoir computers that have been physically implemented using optical and electronic systems and have shown unprecedented data processing rates. Reservoir computing is well-known for the e...

Spin-Based Quantum Dot Quantum Computing

Quantum Information Processing with Nuclear Spin-Based Devices

This talk will illustrate the benefits offered by QIP with two devices which use quantum entanglement among nuclear spins to perform high-precision measurements: (1) a spin gyroscope that operates by detecting the frequency shift in the spins precession rate in the rotating frame, which is potentially more accurate than mechanical or optical devices; (2) a quantum amplifier which correlates the...

Nuclear spin based quantum information processing at high magnetic fields

Quantum computers are machines that exploit the quantum mechanical properties of physical systems to realize an exponential speed-up in problem-solving capability compared with existing computers. Existing schemes for the realization of such machines occur in diverse areas such as atomic physics, nuclear magnetic resonance, superconductivity, quantum optics and solid state physics. We are conce...