Results 61 to 70 of about 6,748,421 (282)
Bayesian quantum phase estimation on an integrated Silicon photonic device [PDF]
, 2016 We demonstrate a Bayesian approach for practical and robust implementation of the quantum phase estimation algorithm. We implement it on a reconfigurable Silicon quantum photonic device, demonstrating its importance for future quantum ...
M. G. Thompson +31 more
core +2 more sources
Advanced Functional Materials, EarlyView.DNA strands are employed both as dynamic linkers and nanoscale templates for the integration of Ag2S nanoparticles on MoS2, which in turn imparted photothermal responsiveness; this feature permits the selective cargo (fluorophore, quantum dots or an enzyme) release from the MoS2 surface in response to local heat induced by light irradiation.
Kai Chen +3 more
wiley +1 more source
Optimal Coherent Quantum Phase Estimation Via Tapering
PRX QuantumQuantum phase estimation is one of the fundamental primitives that underpins many quantum algorithms, including Shor’s algorithm for efficiently factoring large numbers.
Dhrumil Patel +3 more
doaj +1 more source
Fast high-fidelity geometric quantum control with quantum brachistochrones
Physical Review Research, 2021 We experimentally demonstrate fast and high-fidelity geometric control of a quantum system with the brachistochrone method on hybrid spin registers in diamond.
Yang Dong +5 more
doaj +1 more source
Multiparameter quantum critical metrology
SciPost Physics, 2022 Single parameter estimation is known to benefit from extreme sensitivity to parameter changes in quantum critical systems. However, the simultaneous estimation of multiple parameters is generally limited due to the incompatibility arising from the ...
Giovanni Di Fresco, Bernardo Spagnolo, Davide Valenti, Angelo Carollo
doaj +1 more source
An Improved Implementation Approach for Quantum Phase Estimation on Quantum Computers [PDF]
2019 IEEE International Conference on Rebooting Computing (ICRC), 2019 Quantum phase estimation (QPE) is one of the core algorithms for quantum computing. It has been extensively studied and applied in a variety of quantum applications such as the Shor's factoring algorithm, quantum sampling algorithms and the calculation of the eigenvalues of unitary matrices.
Hamed Mohammadbagherpoor +5 more
openaire +2 more sources
Advanced Functional Materials, EarlyView.Optoelectronic synaptic devices based on solution‐processed molecular telluride GST‐225 phase‐change inks are demonstrated for three‐factor learning. A global optical signal broadcast through a silicon waveguide induces non‐volatile conductance updates exclusively in locally electrically flagged memristors.
Kevin Portner +14 more
wiley +1 more source
Nonlinear quantum metrology with moving matter-wave solitons
New Journal of Physics, 2019 The estimation of some parameters with super-Heisenberg (SH) sensitivity, i.e. beyond Heisenberg limit, is one of the principal problems for current quantum metrology.
D V Tsarev +3 more
doaj +1 more source
Computational Advantage from the Quantum Superposition of Multiple Temporal Orders of Photonic Gates
PRX Quantum, 2021 Models for quantum computation with circuit connections subject to the quantum superposition principle have recently been proposed. In them, a control quantum system can coherently determine the order in which a target quantum system undergoes N gate ...
Márcio M. Taddei +11 more
doaj +1 more source