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QUANTUM SOLVER

Absstract of: 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.

FILTER CIRCUIT, QUANTUM DEVICE, QUANTUM COMPUTER, FILTER CIRCUIT MANUFACTURING METHOD, FILTER CIRCUIT ASSEMBLY METHOD, READOUT FREQUENCY FILTERING METHOD, AND QUANTUM BIT DISPERSIVE READOUT METHOD

Absstract of: 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.

RESETTING QUANTUM STATES OF QUBITS VIA ON-CHIP LOSSY RESONATORS WITHIN QUANTUM COMPUTING SYSTEMS

Absstract of: 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.

QUANTUM DEVICE, QUANTUM COMPUTING SYSTEM, AND READOUT METHOD FOR QUANTUM DEVICE

Absstract of: 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.

SINGLE-DETECTOR BELL-STATE MEASUREMENT DEVICE

Absstract of: EP4769978A1

A Bell state measurement device comprising first and second optical input fiber to respectively pass first and second photon comprising a first component and a second component, and a third component and a fourth component, an optical beam splitter configured to receive first and second photon respectively from first and second optical input fiber and to combine first and second photon into third and fourth photon; first and second optical output fiber to receive third and fourth photon, the second optical output fiber comprises a delay line; and a single-photon detector configured to receive third and fourth photon from first optical output fiber, or delayed third photon and delayed fourth photon from second optical output fiber, or third photon from first optical output fiber and delayed fourth photon from second optical output fiber, or fourth photon from first optical output fiber and delayed third photon from second optical output fiber.

JOINT TRAINING OF HYBRID QUANTUM-CLASSICAL AUTOENCODER FOR CSI COMPRESSION

Absstract of: 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.

SELECTING DECODER USED AT QUANTUM COMPUTING DEVICE

Absstract of: 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).

PARAMETRIC FLUORESCENT READOUT FOR SUPERCONDUCTING QUBITS

Absstract of: 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.

COMPUTER-IMPLEMENTED METHOD FOR DETECTING ONE OR MORE DEFINED CELL TYPES AND/OR CELLULAR INDICATORS, SUCH AS BIOMARKERS OR CELLULAR ABERRATIONS, IN PARTICULAR GENOMIC ABERRATIONS, FROM AN IMAGE OF A BODY LIQUID, BONE MARROW OR CYTOLOGY SMEAR SAMPLE

Absstract of: 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.

A QUANTUM COMPUTING SYSTEM AND METHOD FOR USE IN INVESTIGATING QUANTUM ELECTRODYNAMIC EFFECTS IN PHYSICAL SYSTEMS

Absstract of: 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.

ALTERNATING COUPLING ELEMENTS FOR CROSSTALK MITIGATION

Absstract of: 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.

TUNEABLE COUPLER

Absstract of: EP4769240A1

0001 An electronic circuit for a superconducting quantum processor unit is provided. The electronic circuit comprises a first group of circuit elements configured as a first superconducting qubit, a second group of circuit elements configured as a second superconducting qubit, and a third group of circuit elements comprising a ferromagnetic Josephson junction and configured as a tuneable coupler. The tuneable coupler is for selectively coupling the first superconducting qubit to the second superconducting qubit based on a magnetisation state of the ferromagnetic Josephson junction. A method of entangling superconducting qubits is also provided.

COMPUTER PROGRAM, CALCULATION METHOD, AND INFORMATION PROCESSING APPARATUS

Absstract of: 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.

CONTAINERIZED EXECUTION ORCHESTRATION OF QUANTUM TASKS ON QUANTUM HARDWARE PROVIDER QUANTUM PROCESSING UNITS

Absstract of: 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.

A method and system for classifying driver gaze using hyrbrid quantum-classical technique

Absstract of: 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

SYSTEMS AND METHODS FOR OBTAINING RANDOM NUMBERS USING QUANTUM-INSPIRED SIMULATIONS OF QUANTUM ANNEALING

Absstract of: 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.

A METHOD AND SYSTEM FOR PERFORMING A CONTROLLED-Z GATE BETWEEN QUBITS

Absstract of: 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

TENSOR NETWORK ANNEALING METHOD AND SYSTEM FOR OPTIMIZATION OF MACHINE LEARNING TASKS

Absstract of: EP4769234A1

A computer-implemented method for performing computational optimization in machine learning and data science involves a system equipped with at least one processor and memory. This method encompasses storing vectors, defining vector-scalar multiplication, and configuring the processor to operate as an annealer. Key steps include transforming a multivariable binary function into a matrix product state (MPS) format, constructing the MPS with a specific bond dimension, and decomposing vectors for optimal efficiency. The method employs a maximal bond dimension for the tensor train, determining its final state, and utilizes tensor network compression techniques to compress the matrix product state. It addresses Quadratic Unconstrained Binary Optimization (QUBO), frequently used in machine learning, to optimize binary functions. Additionally, the system includes a computer program product and a computer-readable data carrier for executing this method, providing a robust framework for annealing tasks and optimization using memory and processor configurations designed for matrix product state representation and compression.

A METHOD AND SYSTEM FOR PERFORMING A CONTROLLED-UNITARY GATE BETWEEN QUBITS

Absstract of: 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

METHODS, SYSTEMS, AND QUANTUM CIRCUITS FOR ROTATING ERROR SUPPRESSION

Absstract of: 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.

QUANTUM STOCHASTIC GRADIENT DESCENT

Absstract of: 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).

TECHNOLOGIES FOR CLOSED-LOOP QUBIT CALIBRATION

Absstract of: 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.

INTEGRATED ELECTRICAL AND OPTICAL APPARATUS FOR ELECTRICAL CHARACTERIZATION AND LASER ANNEALING

Absstract of: 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.

一种量子门控制脉冲优化方法、系统及量子计算机

Absstract of: CN122311490A

本发明公开了一种量子门控制脉冲优化方法、系统及量子计算机，方法包括将量子门操作转化为第一控制参数序列；获取初始策略网络，判断当前的策略网络是否为最优策略网络；若否，将第一控制序列输入策略网络得到第二控制参数序列，并基于第二控制参数序列生成对应控制波形，测量控制波形获得门保真度，基于门保真度对策略网络的参数进行更新，以迭代输出最优策略网络；若是，通过最优策略网络对输入的第一控制参数序列输出最终的控制参数序列。系统包括参数序列生成模块、脉冲优化处理模块、执行与反馈模块以及策略优化模块。量子计算机应用上述量子门控制脉冲优化方法。本发明中的策略网络能够掌握并生成高稳定性以及高保真度的控制参数序列。

システム

Nº publicación: JP2026107734A 30/06/2026

Applicant:

ソフトバンクグループ株式会社

Absstract of: JP2026107734A

【課題】実施形態に係るシステムは、ITリテラシーの低い子どもや高齢者をネット上の危険から保護することを目的とする。【解決手段】実施形態に係るシステムは、解析部と、予測部と、共有部と、切断部とを備える。解析部は、会話内容を解析する。予測部は、解析部によって解析された会話内容に基づいて危険を予測する。共有部は、予測部によって予測された危険を事前に登録した家族に共有する。切断部は、共有部によって共有された情報に基づいて会話を強制的に切断する。【選択図】図１