Trapped-Ion Circuit Compiler for Phase-Insensitive Gate Optimization

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Solution Overview

Problem

In quantum computing, the imperfect control of qubits in trapped-ion systems leads to errors that accumulate during computations, limiting the scalability and reliability of quantum computers.

Innovation Solution

A method is provided to convert a conventional quantum circuit to a standard trapped-ion gate set, and then to a phase-insensitive trapped-ion gate set, optimizing the circuit for efficient implementation on a quantum computer using a classical computer.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If conventional quantum circuits are directly implemented on trapped-ion quantum computers, then the circuit can be executed, but computational errors accumulate due to imperfect control of qubits

Engineering Contradiction:
Improvecomputational reliabilityVSAvoidqubit control precision
Core Design Contradiction:
ReliabilityVSManufacturing precision

Solution Approach 1:

The patent transforms quantum circuits by changing the parameters of quantum gates, specifically converting gates from one representation to another (e.g., from arbitrary rotations to phase-insensitive gates). This parameter transformation allows the circuit to be executed on trapped-ion systems with reduced sensitivity to control imperfections, thereby improving computational reliability despite limited qubit control precision

Inventive Principle:
Principle #35Parameter changes

Solution Approach 2:

The patent applies preliminary optimization transformations to the quantum circuit before execution on the trapped-ion quantum computer. By pre-converting the circuit to use phase-insensitive gates and optimizing gate sequences, the system prepares the circuit in advance to minimize error accumulation during execution, addressing the control precision limitations before they manifest as computational errors

Inventive Principle:
Principle #10Preliminary action

2Productivity

If more qubits are added to increase computational capacity, then the quantum computer can perform larger computations, but control imperfections lead to more accumulated errors

Engineering Contradiction:
Improvecomputational capacityVSAvoidcomputation fidelity
Core Design Contradiction:
ProductivityVSReliability

Solution Approach 1:

The patent changes the parameter representation of quantum gates to a phase-insensitive basis, which reduces the number of parameters that must be precisely controlled. By expressing gates in terms of fewer, more robust parameters (eliminating phase-sensitive parameters), the system can scale to more qubits without proportionally increasing control complexity and error rates

Inventive Principle:
Principle #35Parameter changes

Solution Approach 2:

The patent extracts and eliminates phase-sensitive components from the quantum gate operations by converting to a phase-insensitive gate set. This extraction removes the problematic degree of freedom that is most susceptible to control errors, allowing the quantum computer to scale to larger sizes while maintaining computation fidelity

Inventive Principle:
Principle #2Taking out (Extraction)

3Adaptability or versatility

If standard trapped-ion gate sets are used, then the circuit can be implemented on trapped-ion systems, but the circuit requires additional conversion steps and optimization

Engineering Contradiction:
Improvesystem compatibilityVSAvoidcircuit conversion complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent develops a universal conversion framework that transforms arbitrary quantum circuits into a standardized phase-insensitive gate set suitable for trapped-ion systems. This universal approach creates a multi-functional bridge between conventional quantum circuit designs and trapped-ion hardware, allowing diverse algorithms to be executed on trapped-ion quantum computers through a systematic conversion process

Inventive Principle:
Principle #6Universality (Multi-functionality)

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

This optimization reduces computational errors and enhances the scalability and reliability of quantum computations by improving the fidelity of quantum logic gates, particularly the [ϕ][ϕ′](θ) gate, which is crucial for large-scale quantum computations.

Implementation Method 1

Thesehyperfinestatescanbecontrolledusingradiationprovidedfromalaser,orsometimesreferredtohereinastheinteractionwithlaserbeams

Methodology Applied
Scientific EffectLaser interaction: Laser

Implementation Method 2

A pair of ions can be controllably entangled (two-qubit gate operations) by a qubit-state dependent force using laser pulses that couple the ions to the collective motional modes of a chain of trapped ions, which arise from their Coulombic interaction between the ions

Methodology Applied
Scientific EffectCoulombic interaction: Coulomb's Law

Implementation Method 3

The ions can be cooled to near their motional ground states using such laser interactions

Methodology Applied
Scientific EffectLaser cooling: Laser

Implementation Method 4

a chain of ions (i.e., charged atoms), which are trapped and suspended in vacuum by electromagnetic fields

Methodology Applied
Scientific EffectElectromagnetic field trapping: Electromagnetic Induction

Data Source

PatentUS12380350B2Optimizing circuit compiler for trapped-ion quantum computers
Publication Date: 2025.08.05 IONQ INC
  • US12380350B2 patent drawing
  • US12380350B2 patent drawing
  • US12380350B2 patent drawing

AI summary

A method of performing a computation using a quantum computer includes converting, by a classical computer, a first quantum circuit to a second quantum circuit, wherein the first quantum circuit comprises a conventional gate set and the second quantum circuit comprises a standard trapped-ion gate set, generating a first optimized quantum circuit, which comprises the standard trapped-ion gate set, by adjusting the second quantum circuit, by use of the classical computer, converting, by the classical computer, the first optimized quantum circuit to a third quantum circuit comprising a phase-insensitive trapped-ion gate set, generating a second optimized quantum circuit comprising the phase-insensitive trapped-ion gate set, by adjusting the third quantum circuit, by use of the classical computer, and applying the first and the second optimized quantum circuit on a quantum computer to perform a computation.