Quantum computer architecture based on multi-qubit gates

Patent metadata

Field	Value
Publication number	US-11354589-B2
Application number	US-201916708025-A
Country	US
Kind code	B2
Filing date	Dec 9, 2019
Priority date	Jan 8, 2019
Publication date	Jun 7, 2022
Grant date	Jun 7, 2022

Abstract

The disclosure describes various aspects of a practical implementation of multi-qubit gate architecture. A method is described that includes enabling ions in the ion trap having three energy levels, enabling a low-heating rate motional mode (e.g., zig-zag mode) at a ground state of motion with the ions in the ion trap; and performing a Cirac and Zoller (CZ) protocol using the low-heating rate motional mode as a motional state of the CZ protocol and one of the energy levels as an auxiliary state of the CZ protocol, where performing the CZ protocol includes implementing the multi-qubit gate. The method also includes performing one or more algorithms using the multi-qubit gate, including Grover's algorithm, Shor's factoring algorithm, quantum approximation optimization algorithm (QAOA), error correction algorithms, and quantum and Hamiltonian simulations. A corresponding system that supports the implementation of a multi-qubit gate architecture is also described.

First claim

What is claimed is:

1. A method for implementing a multi-qubit gate using an ion trap, comprising:
enabling ions in the ion trap that include three energy levels;
enabling a low-heating rate motional mode at a ground state of motion with the ions in the ion trap; and
performing a Cirac and Zoller (CZ) protocol using the low-heating rate motional mode as a motional state of the CZ protocol and one of the three energy levels as an auxiliary state of the CZ protocol, wherein performing the CZ protocol includes implementing the multi-qubit gate.

2. The method of claim 1 , wherein the multi-qubit gate is implemented using at least a subset of the ions in the ion trap.

3. The method of claim 1 , wherein the multi-qubit gate is a multi-control qubit gate.

4. The method of claim 1 , wherein the multi-qubit gate is a n-controlled Z gate or C∧n-Z gate.

5. The method of claim 1 , wherein the low-heating rate motional mode is a zig-zag mode.

6. The method of claim 1 , wherein the low-heating rate motional mode enabled is a rocking mode or a zig-zag mode.

7. The method of claim 1 , wherein the low-heating rate motional mode is one in which all ions in the trapped ion system are coupled, and the low-heating rate motional mode has a spatial frequency profile that is different than a spatial frequency profile of background electric field noise.

8. The method of claim 1 , wherein the auxiliary state is one of Zeeman states or a meta-stable excited state.

9. The method of claim 1 , wherein implementing the multi-qubit gate using at least a subset of the ions in the ion trap includes controlling the subset of the ions using an optical addressing scheme that involves a single, broad optical beam in a first direction and an individual optical beam for each of the ions in the subset of the ions in a second direction.

10. The method of claim 9 , wherein the first and second directions are opposite directions or the first and second directions are perpendicular or normal directions.

11. The method of claim 1 , wherein implementing the multi-qubit gate using at least a subset of the ions in the ion trap includes modulating optical beams applied to the subset of the ions to compensate for frequency drifts in the motional mode.

12. The method of claim 11 , wherein the modulating of the optical beams includes an amplitude modulation, a frequency modulation, a phase modulation, or any combination of the three.

13. The method of claim 11 , wherein the modulating of the optical beams is performed by one or more acousto-optic modulators (AOMs).

14. The method of claim 1 , wherein implementing the multi-qubit gate using at least a subset of the ions in the ion trap includes using optical beams to control the subset of the ions and applying pulse compensation to an intensity of the optical beams to reduce intensity drifts.

15. The method of claim 1 , further comprising performing one or more algorithms using the multi-qubit gate.

16. The method of claim 15 , wherein the one or more algorithms include a Grover's algorithm, and one or more oracles of the Grover's algorithm are implemented using the multi-qubit gate.

17. The method of claim 15 , wherein the one or more algorithms include a quantum approximation optimization algorithm (QAOA), and one or more Boolean clause conditions of the QAOA are implemented using the multi-qubit gate.

18. The method of claim 15 , wherein the one or more algorithms include a Shor's factoring algorithm, and one or more arithmetic circuits of the Shor's factoring algorithm are implemented using the multi-qubit gate.

19. The method of claim 18 , wherein the multi-qubit gate is one of a NOT gate, a controlled-NOT gate, a controlled-controlled-NOT gate, or an n-controlled NOT (Cn-NOT) gate.

20. The method of claim 15 , wherein the one or more algorithms include an error correction algorithm, and distillation circuits of the error correction algorithm are implemented using the multi-qubit gate.

21. The method of claim 15 , wherein the one or more algorithms include a quantum simulation, and at least one of multi-body interactions performed as part of the quantum simulation is performed using the multi-qubit gate.

22. The method of claim 15 , wherein the one or more algorithms include Hamiltonian simulations, and a Select-V gate of the Hamiltonian simulations is implemented using the multi-qubit gate.

23. A system for implementing a multi-qubit gate in an ion trap, comprising:
the ion trap with multiple ions that include three energy levels;
an optical controller configured to control the ions in the ion trap;
a configuration component, wherein the configuration component is configured to:
enable a low-heating rate motional mode at a ground state of motion with the ions in the ion trap; and
perform, with at least the optical controller, a Cirac and Zoller (CZ) protocol using the low-heating rate motional mode as a motional state of the CZ protocol and one of the three energy levels as an auxiliary state of the CZ protocol, wherein the CZ protocol implements the multi-qubit gate using at least a subset of the ions in the ion trap.

24. The system of claim 23 , wherein the multi-qubit gate is a n-controlled Z gate or C∧n-Z gate.

25. The system of claim 23 , wherein the low-heating rate motional mode is a zig-zag mode.

26. The system of claim 23 , wherein the low-heating rate motional mode is one in which all ions in the ion trap are coupled, and the low-heating rate motional mode has a spatial frequency profile that is different than a spatial frequency profile of background electric field noise.

27. The system of claim 23 , wherein the auxiliary state is one of Zeeman states or a meta-stable excited state.

28. The system of claim 23 , further comprising an algorithms component configured to perform one or more algorithms using the multi-qubit gate.

29. The system of claim 28 , wherein the algorithms component is configured to perform one or more of:
a Grover's algorithm, and one or more oracles of the Grover's algorithm are implemented using the multi-qubit gate,
a quantum approximation optimization algorithm (QAOA), and one or more Boolean clause conditions of the QAOA are implemented using the multi-qubit gate,
a Shor's factoring algorithm, and one or more arithmetic circuits of the Shor's factoring algorithm are implemented using the multi-qubit gate,
an error correction algorithm, and distillation circuits of the error correction algorithm are implemented using the multi-qubit gate,
a quantum simulation, and at least one of multi-body interactions performed as part of the quantum simulation is performed using the multi-qubit gate, or
Hamiltonian simulations, and a Select-V gate of the Hamiltonian simulations is implemented using the multi-qubit gate.

30. The system of claim 23 , wherein the system is a quantum information processing (QIP) system.

Assignees

• Ionq Inc
• Univ Maryland
• Univ Duke

Inventors

• Kim Jungsang
• Nam Yunseong
• Monroe Christopher

Classifications

• G06N10/60

  Quantum algorithms, e.g. based on quantum optimisation, quantum Fourier or Hadamard transforms · CPC title

• G06N10/20

  Models of quantum computing, e.g. quantum circuits or universal quantum computers · CPC title

• G06N10/40 Primary

  Physical realisations or architectures of quantum processors or components for manipulating qubits, e.g. qubit coupling or qubit control · CPC title

• H03K19/14

  using opto-electronic devices, i.e. light-emitting and photoelectric devices electrically- or optically-coupled (optical logic elements G02F3/00) · CPC title

• G02F1/11

  based on acousto-optical elements, e.g. using variable diffraction by sound or like mechanical waves (acousto-optical deflection G02F1/33) · CPC title