Fujitsu Corporation

Fujitsu Semiconductor Limited

Satoshi Matsubara

Hideharu Shako

Takeshi Ohba

Hirotaka Tamura

Motomu Takatsu

Sanroku Tsukamoto

Mitsuharu Hamano

Jun Sugiyama

Shuya Hirata

Kazuo Nagatani

Hiroyoshi Ishikawa

Kouichi Kanda

Akihiko Komatsuzaki

Hiroyuki Ogawa

Hiroyuki Sato

Hiroaki Maeda

Hisakatsu Yamaguchi

Takayuki Shibasaki

Noboru Yoneoka

Yousuke Okazaki

Jumpei Koyama

Hideyuki Kannari

Yoshinobu Shizawa

Shinichiro Kobayashi

Akihiko Ohwada

Kazuya Takemoto

Junya Morita

Yusuke Tobisu

Hikaru Ishikawa

Hisato Kawano

Daisuke Masunaga

Toshiyuki Miyazawa

Kohei Ohta

Akira Kurokawa

A wireless communication device that implements beamforming includes: a storage, a processor, and a radio circuit. The storage stores directivity information that indicates a directivity of a radio intensity obtained when beams are formed in a plurality of main lobe directions designated in advance. The processor calculates, based on the directivity information, an interference to a first beam from a second beam when an instruction to form the first beam and the second beam is given. The first beam is configured to transmit a first signal in a first main lobe direction. The second beam is configured to transmit a second signal in a second main lobe direction. The processor generates, based on the calculated interference, a cancellation signal for canceling the second signal in the first main lobe direction. The radio circuit transmits the first signal and the cancellation signal.

Wireless communication device that implements beamforming

An optimization apparatus calculates a first portion, among energy change caused by change in value of a neuron of a neuron group, caused by influence of another neuron of the neuron group, determines whether to allow updating the value, based on a sum of the first and second portions of the energy change, and repeats a process of updating or maintaining the value according to the determination. An arithmetic processing apparatus calculates the second portion caused by influence of a neuron not belonging to the neuron group and an initial value of the sum. A control apparatus transmits data for calculating the second portion and the initial value to the arithmetic processing apparatus, and the initial value and data for calculating the first portion to the optimization apparatus, and receives the initial value from the arithmetic processing apparatus, and a value of the neuron group from the optimization apparatus.

Optimization system, optimization apparatus, and optimization system control method for solving optimization problems by a stochastic search

A problem is inputted into an operation unit. A computation unit searches for a ground state of an Ising model. A management unit converts the problem inputted from the operation unit to the Ising model, inputs the Ising model produced by conversion and initial operating conditions into the computation unit, and has the computation unit search for the ground state using overall operating conditions produced by changing the initial operating conditions based on a result of the computation unit searching for the ground state using the initial operating conditions.

Optimization apparatus and control method for optimization apparatus using ising models

An optimization method includes holding combining destination information indicating a combining destination neuron to be combined with a target neuron which is one of a plurality of neurons corresponding to a plurality of spins of an Ising model obtained by converting an optimization problem, the target neuron being different in a plurality of neuron circuits; holding a weighting coefficient indicating a strength of combining between the target neuron and the combining destination neuron, and outputting the weighting coefficient corresponding to the combining destination information; permitting an update of a value of the target neuron by using the weighting coefficient output and the value of the update target neuron, and outputting a determination result indicating whether or not the value of the target neuron is permitted to be updated; and determining the update target neuron based on the plurality of determination results respectively output and outputting the update target information.

Optimization apparatus and optimization method

An optimization device includes: processing circuits each configured to: hold a first value of a neuron of an Ising model; and perform a process to determine whether to permit updating of the first value based on information of the Ising model and information about a target neuron; a control circuit configured to: set, while causing a portion of the processing circuits to perform the process for a partial neuron group, information to be used for the process for a first neuron other than the partial neuron group in a first processing circuit; cause a second processing circuit among the portion of the processing circuits to inactivate the process; and cause the first processing circuit to start the process for the first neuron; and an update neuron selection circuit configured to: select the target neuron from one or more update permissible neurons; and update the value of the target neuron.

Optimization device and control method of optimization device

An information processing device includes: a memory; and a processor configured to: hold each of values of state variables included in an evaluation function representing energy; calculate the change value of the energy for each of state transitions, when a state transition occurs due to a change of any of the values of the state variables; control a temperature value representing temperature; select any of the state transitions, based on priority information set based on state transition information updated last time with respect to identification information for identifying each state transition, and transition acceptance information indicating transition acceptance determined based on the change value, and a generated thermal noise; and output a lowest energy state which is the values of the state variables when the energy to be updated based on the selected state transition becomes a lowest value.

Information processing device

An individual ising device connected to common buses includes neuron circuits, a memory, and a router. The memory holds connection destination information per neuron circuit. An individual item of connection destination information includes first address information identifying one of a plurality of connection destination neuron circuits of a neuron circuit and second address information identifying a first ising device including at least one of the connection destination neuron circuits, the first and second address information being correlated. The router supplies, when an output signal of a connection destination neuron circuit changes and when the router receives the first address information identifying this connection destination neuron circuit via a bus, an update signal based on the changed output signal to one of the neuron circuits in accordance with the received first address information, the previously specified second address information identifying the first ising device, and the connection destination information.

Information processing apparatus, ising device, and control method for information processing apparatus

An optimization device includes: a state hold circuit that holds values of state variables included in an evaluation function that represents energy; an objective function calculation circuit that calculates an energy change value in an objective function included in the evaluation function for each of state transitions when a state transition occurs in response to a change in any of the values of the state variables; a constraint term calculation circuit that calculates a constraint term evaluation value, which is an evaluation value of a constraint term included in the evaluation function, for each of the state transitions; a temperature control circuit that controls a temperature value that indicates a temperature; and a transition control circuit that determines stochastically whether to accept any of the state transitions based on the temperature value, a random number value, and a sum of the change value and the constraint term evaluation value.

Ising devices interconnected via buses each include: neuron circuits that each update, when a value of an output signal from one of connection destination neuron circuits changes, a value based on an update signal; a memory holding connection destination information wherein items of address information respectively identifying the destination neuron circuits and the ising devices including these circuits and identification information about weight values are associated with each other; a control circuit that outputs, when an output signal of a destination neuron circuit in an ising device other than the own ising device changes, the value of the changed output signal and the update signal based on the destination information; and a router that receives a mode set value from a control device and determines whether to connect at least two neighboring ising devices, or a neighboring ising device and the control circuit, based on the set value.

Information processing apparatus, ising device, and information processing apparatus control method

An individual neuron circuit calculates a first value based on a sum of products each obtained by multiplying one of weight values, each representing connection or disconnection between a corresponding neuron circuit and one of the other neuron circuits, by a corresponding one of output signals of the other neuron circuits and outputs 0 or 1, based on a result of comparison between a second value obtained by adding a noise value to the first value and a threshold. An arbitration circuit allows, when first output signals of first neuron circuits interconnected among the neuron circuits simultaneously change based on the weight values, updating of only one of the first output signals of the first neuron circuits and allows, when second output signals of second neuron circuits not interconnected simultaneously change, updating of the second output signals.

Ising device and control method thereof

Each energy value calculation circuit calculates an energy value, based on a sum total of values obtained by multiplying state values of a plurality of second neurons coupled with a first neuron by corresponding weighting values indicating coupling strengths, and updates the energy value, based on identification information of an updated neuron whose state is updated among the plurality of second neurons and a state value of the updated neuron. Each state transition determination circuit outputs, based on a second energy value and a noise value, a determination signal indicating a determination result of whether a change in a state value of the first neuron is possible. An updated neuron selection circuit selects, based on received determination signals, a first neuron a change in whose state value is possible and outputs identification information of the selected first neuron as identification information of the updated neuron.

Information processing apparatus, Ising unit, and information processing apparatus control method

When a transition control unit stochastically determines whether to accept one of a plurality of state transitions, using a temperature, an energy change, and a random number, depending on a relative relationship between the energy change and thermal excitation energy, the transition control unit adds an offset to the energy change, controls the offset so as to be larger at a local minimum, at which the energy is locally minimized, than at a solution at which the energy is not minimized, and resets the offset to zero when the energy change value is larger than a threshold.

Optimization apparatus and method of controlling the same

When stochastically deciding, based on a change in energy and a random number relating to thermal excitation, whether to accept any of a plurality of state transitions according to the relative relationship between the change in energy and thermal excitation energy, a transition control unit adds an offset to the change in energy, performs control so that the offset at a local minimum where energy is locally minimized is larger than an offset when the energy is not minimized, holds transition information (a transition number) indicating a previous state transition, and prohibits, based on a decoding result for the held transition information, a first state transition out of the present state transition candidates.

Optimization apparatus and method of controlling optimization apparatus

A radio apparatus includes an amplifier that amplifies electrical power of a signal that is wirelessly transmitted, and a processor that executes a process including: performing, by using a distortion compensation coefficient that compensates distortion generated in the amplifier, distortion compensation of an input signal; reading, from a predetermined memory, a threshold that varies in accordance with the electrical power of the input signal; and comparing the read threshold with a monitoring target which includes the distortion compensation coefficient used with respect to the input signal to monitor whether an abnormality is present in the distortion compensation of the input signal.

Radio apparatus and abnormality detecting method

an amplifier amplifies electrical power of signals. A calculating unit calculates a cumulative value for each of first samples and second samples, between which a difference in electrical power or phase is within a first range, in a first sample group and a second sample group corresponding to a first signal that is a signal before amplification in the amplifier and a second signal that is a signal after amplification in the amplifier. Then, the calculating unit calculates, by using the calculated cumulative value, a phase difference between the first signal and the second signal. The correction unit corrects the phase difference by using a correction amount calculated from the phase difference. The updating unit updates, by using the first signal and the second signal of which the phase difference is corrected, a distortion compensation coefficient that is used to compensate nonlinear distortion generated in the amplifier.

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Kawasaki, Japan

Satoshi Matsubara