A quantum computer includes a quantum computing system; a transducer disposed inside the quantum computing system, the transducer being configured to receive an optical control propagating wave and output a microwave control propagating wave; and a quantum processor comprising a plurality of qubits, the plurality of qubits being disposed in the quantum computing system, each qubit of the plurality of qubits being configured to receive at least a portion of the microwave control propagating wave to control a quantum state of each qubit of the plurality of qubits.

A quantum computer includes a quantum computing system; a transducer disposed inside the quantum computing system, the transducer being configured to receive an optical control propagating wave and output a microwave control propagating wave; and a quantum processor comprising a plurality of qubits, the plurality of qubits being disposed in the quantum computing system, each qubit of the plurality of qubits being configured to receive at least a portion of the microwave control propagating wave to control a quantum state of each qubit of the plurality of qubits.

A multiple imputation (MI) based fuzzy clustering with visualization-aided MI validation that improves the accuracy and the stability of identified patterns, generally the structure of HD data with missing values.

The present application discloses a data processing method and apparatus. A specific implementation of the method includes: receiving floating point data sent from an electronic device; converting the received floating point data into fixed point data according to a data length and a value range of the received floating point data; performing calculation on the obtained fixed point data according to a preset algorithm to obtain result data in a fixed point form; and converting the obtained result data in the fixed point form into result data in a floating point form and sending the result data in the floating point form to the electronic device. This implementation improves the data processing efficiency.

A system for entanglement-enhanced machine learning with quantum data acquisition includes a first variational circuit that generates a plurality of entangled probe light fields that interacts with a sample and is then processed by a second variational quantum circuit to produce at least one detection light field, a detector is used to measure a property of the at least one detection light field, and the first and second variational quantum circuits are optimized though machine learning. A method for entanglement-enhanced machine learning with quantum data acquisition includes optimizing a setting of a first and second variational quantum circuits, which includes probing a training-set with a plurality of entangled probe light fields generated by the first variational quantum circuit, and measuring a phase property of at least one detection light fields generated by the second variational quantum circuit from the plurality of entangled probe light fields after interaction with the training-set.

A system for entanglement-enhanced machine learning with quantum data acquisition includes a first variational circuit that generates a plurality of entangled probe light fields that interacts with a sample and is then processed by a second variational quantum circuit to produce at least one detection light field, a detector is used to measure a property of the at least one detection light field, and the first and second variational quantum circuits are optimized though machine learning. A method for entanglement-enhanced machine learning with quantum data acquisition includes optimizing a setting of a first and second variational quantum circuits, which includes probing a training-set with a plurality of entangled probe light fields generated by the first variational quantum circuit, and measuring a phase property of at least one detection light fields generated by the second variational quantum circuit from the plurality of entangled probe light fields after interaction with the training-set.

The disclosure describes various aspects of optical control of atomic quantum bits (qubits) for phase control operations. More specifically, the disclosure describes methods for coherently controlling quantum phases on atomic qubits mediated by optical control fields, applying to quantum logic gates, and generalized interactions between qubits. Various attributes and settings of optical/qubit interactions (e.g., atomic energy structure, laser beam geometry, polarization, spectrum, phase, background magnetic field) are identified for imprinting and storing phase in qubits. The disclosure further describes how these control attributes are best matched in order to control and stabilize qubit interactions and allow extended phase-stable quantum gate sequences.

The disclosure describes various aspects of optical control of atomic quantum bits (qubits) for phase control operations. More specifically, the disclosure describes methods for coherently controlling quantum phases on atomic qubits mediated by optical control fields, applying to quantum logic gates, and generalized interactions between qubits. Various attributes and settings of optical/qubit interactions (e.g., atomic energy structure, laser beam geometry, polarization, spectrum, phase, background magnetic field) are identified for imprinting and storing phase in qubits. The disclosure further describes how these control attributes are best matched in order to control and stabilize qubit interactions and allow extended phase-stable quantum gate sequences.

A method is provided for manufacturing an optical computing device using a container that includes n side walls WS.sub.1 to WS.sub.n and n bottom walls WB.sub.1 to WB.sub.n made of an optically-transparent material, where n is a natural number of not less than 2. The method includes: forming the container including an i-th cavity C.sub.i, using at least an i-th bottom wall WB.sub.i and an i-th side wall WS.sub.i, where i is an integer of 1in; filling the cavity C.sub.i with a liquid material R.sub.i containing a photo-curable resin; and forming a light diffraction element on one main surface of the bottom wall WB.sub.i through stereolithography by emitting light to a part near an interface between the bottom wall WB.sub.i and the liquid material R.sub.i to cure the photo-curable resin.

A method is provided for manufacturing an optical computing device using a container that includes n side walls WS.sub.1 to WS.sub.n and n bottom walls WB.sub.1 to WB.sub.n made of an optically-transparent material, where n is a natural number of not less than 2. The method includes: forming the container including an i-th cavity C.sub.i, using at least an i-th bottom wall WB.sub.i and an i-th side wall WS.sub.i, where i is an integer of 1in; filling the cavity C.sub.i with a liquid material R.sub.i containing a photo-curable resin; and forming a light diffraction element on one main surface of the bottom wall WB.sub.i through stereolithography by emitting light to a part near an interface between the bottom wall WB.sub.i and the liquid material R.sub.i to cure the photo-curable resin.