IP Library Granted Patent US 11,847,533
Granted Patent B2
US 11,847,533 · App. 17/110,382 · Granted Dec 19, 2023

Hybrid quantum computing network

Inventors: Elad Mentovich (Tel Aviv, IL); Kyle Scheps (Geneva, CH); Juan Jose Vegas Olmos (Solrød Strand, DK)
Assignee: MELLANOX TECHNOLOGIES, LTD.
G06N10/00G06F9/4881G06F13/4022
View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 11,847,533
App. No.
17/110,382
Granted
Dec 19, 2023
Kind
B2
Abstract

A distributed computing network includes a quantum computation network and a processor. The quantum computation network includes one or more quantum processor units (QPUs) interconnected one with the other using quantum interconnects including each a quantum link and quantum network interface cards (QNICs), where each QPU is further connected to, using the QNIC, a quantum memory. The processor is configured to receive a quantum computation task, and, using a network interface card (NIC) (i) allocate the quantum computation task to the computation network, by activating any of the quantum interconnects between the QPUs according to the quantum computation task, and (ii) solve the quantum computation task using the quantum computation network.

Claims (32)

1. A distributed computing network, the network comprising:

a quantum computation network comprising one or more quantum processor units (QPUs) interconnected one with the other using quantum interconnects comprising each a quantum link and quantum network interface cards (QNICs), where each QPU is further connected to, using the QNIC, a quantum memory; and

a processor, which is configured to:

receive a quantum computation task, wherein the quantum computation task is separable, and, using a network interface card (NIC), allocate the quantum computation task to the computation network, by activating any of the quantum interconnects between the QPUs according to the quantum computation task; and

solve the quantum computation task using the quantum computation network.

2. The computing network according to claim 1 , further comprising, at least for a given pair of the QPUs, (i) a time counter associated with the quantum interconnect that connects the given pair of the QPUs, and (ii) a classical interconnect connected in parallel with the quantum interconnect, wherein the processor is configured to time-synchronize the given pair of the QPUs with one another using the time counter and the classical interconnect.

3. The computing network according to claim 1 , wherein the quantum computation network has a regular polygon graph topology in which vertices of the topology are the QPUs and edges of the topology are the quantum interconnects.

4. The computing network according to claim 1 , wherein the processor is configured to activate any of the quantum interconnects between the QPUs according to the quantum computation task using an algorithm that maps the quantum computation task to a regular polygon graph.

5. The computing network according to claim 1 , wherein the processor is further configured to receive the solved quantum computation task and, using the solved quantum computation task, solve a full computation task comprising the quantum computation task.

6. The computing network according to claim 1 , wherein the quantum interconnects are configured to support at least one of Remote Direct Memory Access (RDMA) and InfiniBand Trade Association (IBTA) standards.

7. The computing network according to claim 1 , wherein quantum interconnects are configured to communicate qubits.

8. The computing network according to claim 1 , wherein the processor comprises one of a CPU and a GPU.

9. A distributed computing method, comprising:

receiving a quantum computation task, wherein the quantum computation task is separable, and, using a network interface card (NIC), allocating the quantum computation task to the computation network, by activating any of the quantum interconnects between one or more quantum processor units (QPUs) according to the quantum computation task, wherein the one or more QPUs are interconnected one with the other using quantum interconnects comprising each a quantum link and quantum network interface cards (QNICs), and wherein each QPU is further connected to, using the QNIC, a quantum memory; and

solving the quantum computation task using the quantum computation network.

10. The computing method according to claim 9 , further comprising time-synchronizing at least a given pair of the QPUs with one another using a time counter and a classical interconnect, wherein (i) the time counter is associated with the quantum interconnect that connects the given pair of the QPUs, and (ii) the classical interconnect is connected in parallel with the quantum interconnect.

11. The computing method according to claim 9 , wherein the quantum computation network has a regular polygon graph topology in which vertices of the topology are the QPUs and edges of the topology are the quantum interconnects.

12. The computing method according to claim 9 , and comprising activating any of the quantum interconnects between the QPUs according to the quantum computation task using an algorithm that maps the quantum computation task to a regular polygon graph.

13. The computing method according to claim 9 , and comprising receiving the solved quantum computation task, and using the solved quantum computation task solving a full computation task comprising the quantum computation task.

14. The computing method according to claim 9 , wherein the quantum interconnects are configured to support at least one of Remote Direct Memory Access (RDMA) and InfiniBand Trade Association (IBTA) standards.

15. The computing method according to claim 9 , wherein quantum interconnects are configured to communicate qubits.

16. The computing method according to claim 9 , wherein the processor comprises one of a CPU and a GPU.

17. A distributed computing network, the network comprising:

a quantum computation network comprising one or more quantum processor units (QPUs) interconnected one with the other using quantum interconnects comprising each a quantum link and quantum network interface cards (QNICs), where each QPU is further connected to, using the QNIC, a quantum memory; and

a processor, which is configured to:

receive a quantum computation task, wherein the quantum computation task is inseparable, and, using a network interface card (NIC), allocate the quantum computation task to the computation network, by activating any of the quantum interconnects between the QPUs according to the quantum computation task; and

solve the quantum computation task using the quantum computation network.

18. The computing network according to claim 17 , wherein the inseparable quantum computation task is formulated using a quantum-classical path integral (QCPI) model.

19. A distributed computing method, comprising:

receiving a quantum computation task, wherein the quantum computation task is inseparable, and, using a network interface card (NIC), allocating the quantum computation task to the computation network, by activating any of the quantum interconnects between one or more quantum processor units (QPUs) according to the quantum computation task, wherein the one or more QPUs are interconnected one with the other using quantum interconnects comprising each a quantum link and quantum network interface cards (QNICs), and wherein each QPU is further connected to, using the QNIC, a quantum memory; and

solving the quantum computation task using the quantum computation network.

20. The computing method according to claim 19 , wherein the inseparable quantum computation task is formulated using a quantum-classical path integral (QCPI) model.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Dec 3, 2020
From: MENTOVICH, ELAD; SCHEPS, KYLE; OLMOS, JUAN JOSE VEGAS
To: MELLANOX TECHNOLOGIES, LTD.
Reel/Frame 054526/0804 →
Continuity (2)
Provisional Application 62943821 · Dec 5, 2019
Related Publication 20210174237A1 · Jun 10, 2021
Cited By (2)
US 12,327,165 US 12,375,184