equal1.labs Inc.

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International - WIPO
Affiner par Reset Report
Date
2022 3
2019 2
Classe IPC
B82Y 10/00 - Nanotechnologie pour le traitement, le stockage ou la transmission d’informations, p.ex. calcul quantique ou logique à un électron 5
G06N 10/00 - Informatique quantique, c. à d. traitement de l’information fondé sur des phénomènes de mécanique quantique 5
H01L 29/12 - Corps semi-conducteurs caractérisés par les matériaux dont ils sont constitués 4
G06F 7/58 - Générateurs de nombres aléatoires ou pseudo-aléatoires 3
G06F 7/499 - Maniement de valeur ou d'exception, p.ex. arrondi ou dépassement 2
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1.

SYSTEM AND METHOD OF GENERATING QUANTUM UNITARY NOISE USING SILICON BASED QUANTUM DOT ARRAYS

      
Numéro d'application IB2021060430
Numéro de publication 2022/101811
Statut Délivré - en vigueur
Date de dépôt 2021-11-11
Date de publication 2022-05-19
Propriétaire EQUAL1.LABS INC. (USA)
Inventeur(s)
  • Redmond, David J.
  • Leipold, Dirk Robert Walter
  • Bashir, Imran
  • Staszewski, Robert Bogdan

Abrégé

A novel and useful system and method of generating quantum unitary noise using silicon based quantum dot arrays. Unitary noise is derived from a probability of detecting a particle within a quantum dot array structure comprising position based charge qubits with two time independent basis states |0> and |1>. A two level electron tunneling device such as an interface device, qubit or other quantum structure is used to generate quantum noise. The electron tunneling device includes a reservoir of particles, a quantum dot, and a barrier that is used to control tunneling between the reservoir and the quantum dot. A detector circuit connected to the device outputs a digital stream corresponding to the probability of a particle of being detected. Controlling the bias applied to the barrier controls the probability of detection. Thus, the probability density function (PDF) of the output unitary noise can be controlled to correspond to a desired probability. The unitary noise can be used in stochastic rounding by controlling the bias applied to the barrier in accordance with a remainder of numbers to be rounded.

Classes IPC  ?

  • G06N 10/00 - Informatique quantique, c. à d. traitement de l’information fondé sur des phénomènes de mécanique quantique
  • B82Y 10/00 - Nanotechnologie pour le traitement, le stockage ou la transmission d’informations, p.ex. calcul quantique ou logique à un électron
  • H01L 29/12 - Corps semi-conducteurs caractérisés par les matériaux dont ils sont constitués
  • G06F 7/58 - Générateurs de nombres aléatoires ou pseudo-aléatoires

2.

SYSTEM AND METHOD OF QUANTUM STOCHASTIC ROUNDING USING SILICON BASED QUANTUM DOT ARRAYS

      
Numéro d'application IB2021060431
Numéro de publication 2022/101812
Statut Délivré - en vigueur
Date de dépôt 2021-11-11
Date de publication 2022-05-19
Propriétaire EQUAL1.LABS INC. (USA)
Inventeur(s)
  • Redmond, David J.
  • Leipold, Dirk Robert Walter
  • Bashir, Imran
  • Staszewski, Robert Bogdan

Abrégé

A novel and useful system and method of quantum stochastic rounding using silicon based quantum dot arrays. Unitary noise is derived from a probability of detecting a particle within a quantum dot array structure comprising position based charge qubits with two time independent basis states |0> and |1>. A two level electron tunneling device such as an interface device, qubit or other quantum structure is used to generate quantum noise. The electron tunneling device includes a reservoir of particles, a quantum dot, and a barrier that is used to control tunneling between the reservoir and the quantum dot. A detector circuit connected to the device outputs a digital stream corresponding to the probability of a particle of being detected. Controlling the bias applied to the barrier controls the probability of detection. Thus, the probability density function (PDF) of the output unitary noise can be controlled to correspond to a desired probability. The unitary noise is used to perform stochastic rounding by controlling the bias applied to the barrier in accordance with a remainder of numbers to be rounded.

Classes IPC  ?

  • G06F 7/499 - Maniement de valeur ou d'exception, p.ex. arrondi ou dépassement
  • G06N 3/02 - Réseaux neuronaux
  • G06N 10/00 - Informatique quantique, c. à d. traitement de l’information fondé sur des phénomènes de mécanique quantique
  • B82Y 10/00 - Nanotechnologie pour le traitement, le stockage ou la transmission d’informations, p.ex. calcul quantique ou logique à un électron
  • H01L 29/12 - Corps semi-conducteurs caractérisés par les matériaux dont ils sont constitués
  • G06F 7/58 - Générateurs de nombres aléatoires ou pseudo-aléatoires

3.

ACCELERATED LEARNING IN NEURAL NETWORKS INCORPORATING QUANTUM UNITARY NOISE AND QUANTUM STOCHASTIC ROUNDING USING SILICON BASED QUANTUM DOT ARRAYS

      
Numéro d'application IB2021060432
Numéro de publication 2022/101813
Statut Délivré - en vigueur
Date de dépôt 2021-11-11
Date de publication 2022-05-19
Propriétaire EQUAL1.LABS INC. (USA)
Inventeur(s)
  • Redmond, David J.
  • Leipold, Dirk Robert Walter
  • Bashir, Imran
  • Staszewski, Robert Bogdan

Abrégé

A novel and useful system and method of accelerated learning in neural networks using silicon based quantum dot arrays. Unitary noise is derived from a probability of detecting a particle within a quantum dot array structure comprising position based charge qubits with two time independent basis states |0> and |1>. A two level electron tunneling device such as an interface device, qubit or other quantum structure is used to generate quantum noise. The electron tunneling device includes a reservoir of particles, a quantum dot, and a barrier that is used to control tunneling between the reservoir and the quantum dot. Controlling the bias applied to the barrier controls the probability of detection. Thus, the probability density function (PDF) of the output unitary noise can be controlled to correspond to a desired probability. The quantum unitary noise is injected into one or more layers of an artificial neural network (ANN) to improve the learning and training process. The quantum noise source is also used to perform stochastic rounding in the ANN. The PDF of the quantum noise source output is set to a desired value in accordance with the remainder portion of input numbers within the layers of the ANN to be rounded.

Classes IPC  ?

  • G06N 3/02 - Réseaux neuronaux
  • G06F 7/499 - Maniement de valeur ou d'exception, p.ex. arrondi ou dépassement
  • G06N 10/00 - Informatique quantique, c. à d. traitement de l’information fondé sur des phénomènes de mécanique quantique
  • B82Y 10/00 - Nanotechnologie pour le traitement, le stockage ou la transmission d’informations, p.ex. calcul quantique ou logique à un électron
  • H01L 29/12 - Corps semi-conducteurs caractérisés par les matériaux dont ils sont constitués
  • G06F 7/58 - Générateurs de nombres aléatoires ou pseudo-aléatoires

4.

SEMICONDUCTOR CONTROLLED QUANTUM INTERACTION GATES

      
Numéro d'application IB2019055171
Numéro de publication 2019/244076
Statut Délivré - en vigueur
Date de dépôt 2019-06-19
Date de publication 2019-12-26
Propriétaire EQUAL1.LABS INC. (USA)
Inventeur(s)
  • Maxim, George Adrian
  • Leipold, Dirk Robert Walter
  • Asker, Michael Albert

Abrégé

Novel and useful quantum structures that provide various control functions. Particles are brought into close proximity to interact with one another and exchange information. After entanglement, the particles are moved away from each other but they still carry the information contained initially. Measurement and detection are performed on the particles from the entangled ensemble to determine whether the particle is present or not in a given qdot. A quantum interaction gate is a circuit or structure operating on a relatively small number of qubits. Quantum interaction gates implement several quantum functions including a controlled NOT gate, quantum annealing gate, controlled SWAP gate, a controlled Pauli rotation gate, and ancillary gate. These quantum interaction gates can have numerous shapes including double V shape, H shape, X shape, L shape, I shape, etc.

Classes IPC  ?

  • B82Y 10/00 - Nanotechnologie pour le traitement, le stockage ou la transmission d’informations, p.ex. calcul quantique ou logique à un électron
  • G06N 10/00 - Informatique quantique, c. à d. traitement de l’information fondé sur des phénomènes de mécanique quantique
  • H01L 29/12 - Corps semi-conducteurs caractérisés par les matériaux dont ils sont constitués

5.

QUANTUM STRUCTURE INCORPORATING ELECTRIC AND MAGNETIC ANGLE CONTROL

      
Numéro d'application IB2019055174
Numéro de publication 2019/244078
Statut Délivré - en vigueur
Date de dépôt 2019-06-19
Date de publication 2019-12-26
Propriétaire EQUAL1.LABS INC. (USA)
Inventeur(s)
  • Asker, Michael Albert
  • Leipold, Dirk Robert Walter
  • Maxim, George Adrian

Abrégé

Novel and useful electronic and magnetic control of several quantum structures that provide various control functions. An electric field provides control and is created by a voltage applied to a control terminal. Alternatively, an inductor or resonator provides control. An electric field functions as the main control and an auxiliary magnetic field provides additional control on the control gate. The magnetic field is used to control different aspects of the quantum structure. The magnetic field impacts the spin of the electron by tending to align to the magnetic field. The Bloch sphere is a geometrical representation of the state of a two-level quantum system and defined by a vector in x, y, z spherical coordinates. The representation includes two angles Θ and φ whereby an appropriate electrostatic gate control voltage signal is generated to control the angle Θ of the quantum state and an appropriate control voltage to an interface device generates a corresponding electrostatic field in the quantum structure to control the angle φ.

Classes IPC  ?

  • G06N 10/00 - Informatique quantique, c. à d. traitement de l’information fondé sur des phénomènes de mécanique quantique
  • B82Y 10/00 - Nanotechnologie pour le traitement, le stockage ou la transmission d’informations, p.ex. calcul quantique ou logique à un électron