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197
resultados
Última actualización
16/07/2026 [08:23:00]
Resultados 175 a 197 de 197
Resumen de: EP4769332A1
0001 The present invention relates to a computer-implemented method for producing a trained model for detecting one or more defined cell types and/or cellular indicators, such as biomarkers or cellular abnormalities, in particular genomic aberrations, from single-cell images obtained from a sample of a body liquid, bone marrow, cytology smear or slide preparations, in particular a blood smear sample. It relates also to a computer-implemented method for detecting one or more defined cell types and/or cellular indicators, such as biomarkers or cellular abnormalities, in particular genomic aberrations, from single-cell images obtained from a sample of a body liquid, bone marrow or cytology smear, in particular a blood smear sample.
Resumen de: GB2702963A
Method of classifying driver gaze, comprising: receiving an image related to a facial of a driver (302,Fig.3); extracting image latent (feature) vectors 404 with a pre-trained Artificial Intelligence (AI) model 402; splitting the latent vectors 404 into portions 406 the size of the portions being based on a number of qubits associated with a quantum computing model 412a; inputting the latent vector portions 408 into the quantum computing model 412a to determine quantum enhanced feature vectors; and aggregating the quantum-enhanced feature vectors to classify driver gaze. The fragmented feature vectors may be appended by a position marker 408. Angle encoding 410 that transforms the feature vectors into a quantum state represented on a Bloch Sphere may be performed on each of the serialized latent vector chunks. Aggregating the quantum-enhanced feature vectors to classify the driver gaze may comprise: determining a centroid feature vector for each quantum-enhanced feature vectors; determining a variance feature vector for each centroid feature vector; and aggregating the quantum-enhanced feature vectors by applying a contrastive loss function on each variance feature vector to classify the driver gaze into predefined zones inside vehicle (310,Fig.3). Figure 4
Resumen de: CN121925639A
A quantum computing service provides containerized software to a customer for orchestrating quantum task execution using a third party quantum hardware provider. The quantum computing service also issues tokens to the customer that are available to obtain access to quantum processing units of the third-party quantum hardware provider, and tracks token usage to account for the customer's usage of quantum resources of the third-party quantum hardware provider. In some embodiments, a software container provided to a customer contains code for verifying a quantum task, code for converting a quantum line associated with the quantum task into a native gate representation, and code for compiling the converted quantum line into a compiled workpiece, the compiled workpiece may be submitted with an access token to a third party quantum hardware provider to perform the quantum task.
Resumen de: WO2025078710A1
There is provided mitigating cross-talk between coupling elements of a quantum circuit. A quantum circuit comprises a configuration of coupling elements arranged between computational elements, wherein the configuration of coupling elements comprises coupling elements of at least two types and the at least two types of the coupling elements are alternated between adjacent coupling elements.
Resumen de: WO2025078843A1
A method and quantum computing system are provided for investigating quantum electrodynamic effects in a physical system containing bosonic components and spin components. The method includes defining a Hamiltonian representation of the physical system, wherein the Hamiltonian representation comprises states and operators for the bosonic components and spin components. The physical system comprises a plurality of interconnected cavities in which the bosonic and spin components of the physical system are located. The bosonic and spin components of the physical system interact with one another according to quantum electrodynamics. The bosonic components of the physical system are able to hop between the interconnected cavities. The states and operators from the Hamiltonian representation of the physical system are mapped onto a quantum circuit for execution on the quantum computing system. The quantum circuit is executed on qubits of the quantum computing system to track the behaviour with time of the physical system.
Resumen de: US2025111259A1
0000 The technology provides fluorescent readout of microwave-type qubits using a paracoupler architecture. A quantum computing system comprises a set of qubits configured to be responsive to one or more microwave signals and a control apparatus configured to apply the one or more microwave signals to the set of qubits. The control apparatus includes a set of control lines configured to transmit the one or more microwave signals to corresponding ones of the set of qubits. The system also includes a readout apparatus configured to perform qubit measurements. The readout apparatus including a readout line operatively coupled to the qubits. A paracoupler operatively arranged between the set of qubits and the readout apparatus is configured to enable parametric fluorescent readout of the qubits via the readout apparatus. When the paracoupler is not driven it prevents coupling of the qubits with the readout line.
Resumen de: WO2025049017A1
A computing system (10) is provided, including one or more processing devices (12). The one or more processing devices are configured to receive quantum circuit parameters (20) including a code parameter (23) of an error correction code (22) and a number of gates () included in a quantum circuit (24). The one or more processing devices are further configured to receive respective decoder parameters (30) of each of a plurality of candidate decoders (32). The decoder parameters include a physical noise rate () of a plurality of physical qubits at which the quantum circuit is configured to be executed and a stopping time () of the candidate decoder. The one or more processing devices are further configured to compute respective spacetime costs (40) of the candidate decoders based on the quantum circuit parameters and the decoder parameters. The one or more processing devices are further configured to output a selection of a lowest-spacetime-cost decoder (42) for implementation at a quantum computing device (50).
Resumen de: EP4769247A1
In a first aspect, a method for suppressing rotating implementation errors in a multi-qubit quantum logic operation G. The method comprising applying at least one of: a corresponding single-qubit prefix gate, before applying said quantum logic operation G; and, a corresponding single-qubit suffix gate, after applying said quantum logic operation G. Coefficients of Pauli terms, of any one of said prefix gate and said suffix gate, are based on an accumulated time from a beginning of a quantum circuit to the quantum logic operation G. In a second and aspect, a method for rotating dynamical-decoupling for pair-wise application of a quantum logic operation G. In further aspects, a characterization method for rotating implementation errors, and systems for implementation of the methods.
Resumen de: EP4769238A1
0001 Method of performing a CNOT gate between a control qubit having a control qubit resonance frequency and a target qubit having a target qubit resonance frequency, in which said control qubit and said target qubit are cat qubits hosted respectively in a control resonator and in a target resonator of a superconducting quantum circuit, and are stabilized therein by means of a command circuit arranged for selectively applying radiation to said superconducting quantum circuit, and in which said control resonator and said target resonator are connected via an ancilla resonator coupled to said command circuit for stabilizing a respective ancilla qubit having an ancilla qubit resonance frequency, and wherein said control qubit and said target qubit are not directly connected. Said method comprises the following operations: a) preparing (400, 700) the ancilla qubit in a state eiϕ1Z |+〉 where ϕ 1 is a phase comprised in the range 0; π measured around the Z axis of the ancilla qubit, b) performing a CNOT gate (410, 710) between said control qubit and said ancilla qubit, with the control qubit being the target and the ancilla qubit being the control, c1) performing a S gate (432, 732) on said target qubit, c2) performing a CNOT gate (435, 735) between said target qubit and said ancilla qubit, with the target qubit being the target and the ancilla qubit being the control, c3) performing a conjugate transpose S gate (436, 736) on said target qubit, c4) performing a S gate (438
Resumen de: WO2025048685A1
A method (100), performed by a network node, for enabling CSI compression. The method comprises clustering (101) UEs according to a measure of similarity, training (102) a hybrid autoencoder comprising a classical encoder and a quantum decoder, for each cluster of UEs, on training data corresponding to CSI of a selected UE from the cluster of UEs, and transmitting (103) the encoder of the hybrid quantum-classical autoencoder to each UE in the cluster of UEs. Also disclosed are related network nodes, radio access nodes, computer programs, and computer program products.
Resumen de: EP4769237A1
0001 There is provided a method of performing a data-data controlled-unitary gate between a first data qubit as control in a first basis (|e0 〉, |e1 〉) and a second data qubit as target, and wherein the unitary gate of the controlled-unitary matrix is defined by a unitary matrix U, the method comprising the following operations: (i) providing the first data qubit in the first basis (|e0 〉, |e<1>〉), the second data qubit, and an ancilla qubit, wherein each data qubit is connected to the ancilla qubit and wherein the first and second data qubits are not directly connected to each other, wherein the first data, second data, and ancilla qubits are all either (A) physical qubits each hosted in a respective physical mode of one or more physical resonators or (B) logical qubits each hosted by a plurality of physical qubits which are configured to perform an error correction code to encode the respective logical qubits; (ii) configuring the ancilla qubit to be able to perform a controlled-unitary gate with either of the first and second data qubits. The method further comprises the following operations: (iii) performing a first one-qubit state teleportation of the first data qubit to the ancilla qubit from the first basis (|e0 〉, |e1 〉) to a second basis (|g0 〉, |g1 〉) by: (a) preparing a two-qubit state entangling the first data qubit and the ancilla qubit, and (b) subsequently performing a measurement-based uncomputation of the first data qubit; (iv) perfo
Resumen de: EP4769118A1
Random number generation is crucial in applications such as cryptography, simulations, and statistical sampling. However, traditional methods often rely on algorithmic processes, which may not provide true randomness. An example solution may provide a computer-implemented method including: receiving a data set, a processing time, and a state count; executing one or more simulations of a quantum adiabatic process based on the data set, the processing time, the state count, an energy function, and one or more network structures, the one or more network structures including a representation of one or more initial simulated quantum bits; measuring one or more simulated values based on the one or more evolved simulated quantum bits at the end of each simulation; and outputting one or more output values based on the one or more simulated values, the one or more output values including one or more classical bit.
Resumen de: EP4769250A1
A processing unit acquires the data of first and second classical shadows corresponding to first and second quantum data represented by qubits, and geometric structure information indicating the geometric structure of a space including lattice points associated with the qubits. The first and second classical shadows include first and second data elements, respectively, corresponding to the qubits. The processing unit sets local subspaces each including a set of local lattice points in the space, based on the geometric structure information. The processing unit calculates, for each local subspace, a value of a first kernel function based on first and second data elements of the first and second classical shadows corresponding to the lattice points of that local subspace, and calculates a value of a second kernel function corresponding to the first and second classical shadows, based on the values of the first kernel function corresponding to the local subspaces.
Resumen de: WO2025064156A2
A quantum computing system includes a cryogenic chamber and an integrated circuit located in the chamber. The integrated circuit includes a substrate, a qubit formed on the substrate, and a dissipative element that is formed on the substrate and coupled to the qubit. When the qubit is tuned to a first flux value, the integrated circuit is enabled to perform quantum-computation operations on a set of quantum states of the qubit. The quantum states include a ground state and an excited state. When the qubit is tuned to a second flux value, the qubit is enabled to transfer energy associated with the excited state from the qubit to the dissipative element. Upon the energy transfer, the qubit is transitioned to the ground state. The dissipative element is enabled to dissipate the transferred energy to a portion of the substrate.
Resumen de: EP4769241A1
The filter circuit 1 comprises a readout-resonator 11 coupled to a data qubit and a filter-resonator 12 coupled to an observation line. The readout-resonator 11 and the filter-resonator 12 are electromagnetically coupled to each other using capacitive coupling and inductive coupling in parallel.
Resumen de: WO2025041087A1
This disclosure relates to a method for determining a characteristic of a wave function of electrons. The method comprises running a quantum circuit multiple times. The quantum circuit comprises qubits and is configured to represent an eigenstate of a Hamiltonian of the electrons. After each time of running the quantum circuit, a value is measured of each qubit to obtain multiple bit strings encoding respective basis functions. The method determines measurement statistics over the bit strings and calculates, based on the measurement statistics a wave function coefficient, including a sign value of each measurement, for each basis function encoded by the bit strings. Then, the method calculates an energy value of the wave function based on the wave function coefficient for each basis function and repeats these steps adjusting parameters of the quantum circuit to iteratively minimise the energy value to thereby improve the characteristic of the wave function.
Resumen de: WO2025040515A1
The invention relates to a method for implementing a quantum parity circuit (1) for N qubits (qb1…5) by means of at most 2N global entangling gates (3), comprising the steps of: a) implementing the quantum parity circuit (1) by means of at most N fan-in gates (21) or fan-out gates (22); b) converting each of the fan-in gates (21) or fan-out gates (22) into individual qubit gates (4) and at most two global entangling gates (3). The invention also relates to a computer program, a computer-readable storage medium, and a quantum computer.
Resumen de: WO2025040419A1
An apparatus comprises optical apparatus, and electrical characterization apparatus. The optical apparatus and the electrical characterization apparatus comprise an integrated configuration to perform laser annealing operations for tuning junction resistances of superconducting tunnel junction devices on a quantum chip, and to perform in-situ resistance measurements to measure the junction resistances of the superconducting tunnel junction devices on the quantum chip.
Resumen de: EP4769239A1
0001 An information processing program for causing a computer to execute a process including: setting first and second functions, for a quantum circuit used when solving a combinatorial optimization problem and including, for each layer, a first partial circuit representing an action of a mixer unitary operator and a second partial circuit representing an action of a cost unitary operator, the first function representing a first variational parameter of the first partial circuit, the second function representing a second variational parameter of the second partial circuit; and calculating a solution to the combinatorial optimization problem by updating a value of a first transformation parameter related to the first function and a value of a second transformation parameter related to the second function so as to optimize an expected value of a cost function corresponding to the combinatorial optimization problem by using the quantum circuit after setting the first function and the second function.
Resumen de: EP4769246A1
0001 Technologies for closed-loop calibration of pulses to control spin qubits are disclosed. In an illustrative embodiment, calibration circuitry generates a pulse from a pulse generator. The pulse passes through a variable filter controlled by a filter parameter. The pulse is provided to a qubit, and the qubit is measured. Depending on the measured state of the qubit, the filter parameter can be changed. In this manner, the control pulses can be quickly and continuously calibrated. The calibration approach above offers several advantages. It can be implemented by circuitry close to the physical qubit, reducing opportunities for noise, cross-talk, etc. The calibration approach is scalable, as the calibration can be done quickly and continuously on a given qubit, and the same calibration circuitry can be multiplexed to interface with several qubits. The calibration circuitry can be on an integrated circuit, which can be in a cryogenic stage of the quantum computer.
Resumen de: EP4769243A1
0001 A computer-implemented method for training a machine learning model (27) using a training dataset (28) having a set of distributional parameters θ is disclosed. The method comprises selecting (S205) stochastically a subset (28a) from the training dataset (28), calculating a gradient of the subset (28a) by encoding (S210) a cost function representative of the gradient into a quantum circuit, amplifying (S220) the amplitude of the quantum circuit, constructing a likelihood function (S230), and minimising the cost function in a variational quantum circuit to optimise the distributional parameters, extracting the optimised distributional parameters, and entering the optimised distributional parameters into the machine learning model (27).
Nº publicación: EP4769242A1 01/07/2026
Solicitante:
FUJITSU LTD [JP]
FUJITSU LIMITED
Resumen de: EP4769242A1
A quantum device includes a first qubit circuit, a second qubit circuit, and a cover chip. The first qubit circuit includes a first port, a first qubit, and a first resonator coupled to the first qubit and the first port and having a first resonant frequency. The second qubit circuit includes a second port, a second qubit, and a second resonator coupled to the second qubit and the second port and having a second resonant frequency different from the first resonant frequency. The cover chip includes a waveguide coupled to the first port and the second port.
BOPI
Sede Electrónica
