Patent classifications
G06N10/20
SYSTEMS AND METHODS FOR FABRICATING SUPERCONDUCTING INTEGRATED CIRCUITS
A system and method for mitigating flux trapping in a superconducting integrated circuit. A first metal layer is formed having a first critical temperature and a first device, and a flux directing layer is formed having a second critical temperature. The flux directing layer is positioned in communication with an aperture location, and the aperture location is spaced from the first device to isolate the first device from flux trapped in the aperture. The superconducting integrated circuit is cooled from a first temperature that is above both the first and second critical temperatures to a second temperature that is less than both the first and second critical temperatures by a cryogenic refrigerator. A relative temperature difference between the first and second critical temperatures causes the flux directing layer to direct flux away from the first device and trap flux at the aperture location.
Machine Learning for Syncing Multiple FPGA Ports in a Quantum System
In a quantum computer, quantum algorithms are performed by a qubit interacting with multiple quantum control pulses. The quantum control pulses are electromagnetic RF signals that are generated digitally at baseband and sent, via asynchronous ports, to DACs that feed an RF upconversion circuit. For synchronization, each asynchronous port is coupled to a multi-tap delay line. The setting of the multi-tap delay line is determined by a function of the port's setup-and-hold time. This function is trained, via machine learning, to be applicable across a variety of ports.
Machine Learning for Syncing Multiple FPGA Ports in a Quantum System
In a quantum computer, quantum algorithms are performed by a qubit interacting with multiple quantum control pulses. The quantum control pulses are electromagnetic RF signals that are generated digitally at baseband and sent, via asynchronous ports, to DACs that feed an RF upconversion circuit. For synchronization, each asynchronous port is coupled to a multi-tap delay line. The setting of the multi-tap delay line is determined by a function of the port's setup-and-hold time. This function is trained, via machine learning, to be applicable across a variety of ports.
Quantum formulation independent solver
Methods, systems, and apparatus for solving computational tasks using quantum computing resources. In one aspect a method includes receiving, at a quantum formulation solver, data representing a computational task to be performed; deriving, by the quantum formulation solver, a formulation of the data representing the computational task that is formulated for a selected type of quantum computing resource; routing, by the quantum formulation solver, the formulation of the data representing the computational task to a quantum computing resource of the selected type to obtain data representing a solution to the computational task; generating, at the quantum formulation solver, output data including data representing a solution to the computational task; and receiving, at a broker, the output data and generating one or more actions to be taken based on the output data.
Quantum formulation independent solver
Methods, systems, and apparatus for solving computational tasks using quantum computing resources. In one aspect a method includes receiving, at a quantum formulation solver, data representing a computational task to be performed; deriving, by the quantum formulation solver, a formulation of the data representing the computational task that is formulated for a selected type of quantum computing resource; routing, by the quantum formulation solver, the formulation of the data representing the computational task to a quantum computing resource of the selected type to obtain data representing a solution to the computational task; generating, at the quantum formulation solver, output data including data representing a solution to the computational task; and receiving, at a broker, the output data and generating one or more actions to be taken based on the output data.
QUANTUM PROCCESS PARALLELIZATION
A method, apparatus, computer system, and computer program product for parallelizing quantum processes for processing a problem. A computer system identifies subproblems in the problem based on a structure of the problem. The computer system identifies quantum circuits in a set of quantum computers to process the subproblems. The computer system executes jobs on the quantum circuits to solve the subproblems.
QUANTUM PROCCESS PARALLELIZATION
A method, apparatus, computer system, and computer program product for parallelizing quantum processes for processing a problem. A computer system identifies subproblems in the problem based on a structure of the problem. The computer system identifies quantum circuits in a set of quantum computers to process the subproblems. The computer system executes jobs on the quantum circuits to solve the subproblems.
Fault tolerant computation method and apparatus for quantum Clifford circuit, device, and chip
This application discloses a fault tolerant computation method and device for a quantum Clifford circuit with reduced resource requirement. The method includes decomposing a quantum Clifford circuit into s logic Clifford circuits and preparing auxiliary quantum states corresponding to the s logic Clifford circuits. For each logic Clifford circuit, the method further includes teleporting an input quantum state corresponding to the logic Clifford circuit to an auxiliary qubit, processing a quantum state obtained after the teleportation by the logic Clifford circuit to obtain a corresponding output quantum state; measuring a corresponding error symptom based on the input quantum state and the auxiliary quantum state; and performing error correction on the output quantum state according to the error symptom to obtain an error-corrected output quantum state.
ACTIVE QUANTUM MEMORY SYSTEMS AND TECHNIQUES FOR MITIGATING DECOHERENCE IN A QUANTUM COMPUTING DEVICE
Systems and techniques for active quantum memory (AQM) and quantum teleportation circuits with feedback are described. For instance, one or more aspects of the present disclosure may enable the indefinite storage of one or more qubits via a sequence of quantum teleportations involving the rapid periodic executions of a standard teleportation protocol with feedback (e.g., provided the total feedback cycle time is less than the decoherence time for a qubit). For each qubit stored, a pair of entangled qubits are injected on each feedback cycle and two qubits are measured. The stored quantum state may be passed repeatedly back-and-forth between two of the qubits, and the stored quantum state may be maintained by the input energy on each cycle required to initialize the entangled qubit pair (e.g., where the cycle period is chosen to be less than the decoherence time of the qubits to maintain state information over many cycles).
ACTIVE QUANTUM MEMORY SYSTEMS AND TECHNIQUES FOR MITIGATING DECOHERENCE IN A QUANTUM COMPUTING DEVICE
Systems and techniques for active quantum memory (AQM) and quantum teleportation circuits with feedback are described. For instance, one or more aspects of the present disclosure may enable the indefinite storage of one or more qubits via a sequence of quantum teleportations involving the rapid periodic executions of a standard teleportation protocol with feedback (e.g., provided the total feedback cycle time is less than the decoherence time for a qubit). For each qubit stored, a pair of entangled qubits are injected on each feedback cycle and two qubits are measured. The stored quantum state may be passed repeatedly back-and-forth between two of the qubits, and the stored quantum state may be maintained by the input energy on each cycle required to initialize the entangled qubit pair (e.g., where the cycle period is chosen to be less than the decoherence time of the qubits to maintain state information over many cycles).