Quantum Computing Roadmap

A measured path from error detection to utility-scale quantum computing.

  • 2026 Milestone

One Computation. Thirty Entangled Logical Qubits.

Infleqtion demonstrated 30 entangled logical qubits in a single computation on Sqale, using 80 physical qubits and approximately 1,000 physical operations. The achievement delivers the 2026 logical qubit milestone and advances the roadmap toward targets of 100 logical qubits in 2028 and 1,000 in 2030.

30
entangled logical qubits In a single computation
80
physical qubits Used in the experiment
~1,000
physical operations (approximately 1 KiloQuOp)
~1,000x
baseline signal versus the uniform-random baseline

Progress

Inside the 30 Logical Qubit Result

The demonstration brought Sqale hardware and Superstaq software together in an IQP circuit that connected all 30 logical qubits. Efficient encoding, non-Clifford operations, AI-assisted gate discovery, and loss correction each contributed to the result.

  • Efficient Encoding

    Ten blocks of eight atoms encoded three logical qubits per block, producing 30 logical qubits from 80 physical qubits

    2026

  • Fewer Physical Gates

    An AI-assisted discovery reduced a key logical entangling operation from eight physical two-qubit gates to four.

    2026

  • Non-Clifford Operations

    The 30 logical qubit circuit included four logical CCZ gates, a non-Clifford operation needed for universal quantum computing.

    2026

  • More Useful Outputs

    Software-based loss correction increased the number of retained successful samples by four times, with a trade-off in accuracy.

    2026

  • 2024

    Error Detection

    Fault-tolerance verification tools and optimized laser pulses established precise control for the first logical qubit milestone.

    Logical Qubits
    2
    Physical Qubits
    1,600
    Gate Performance
    99.73%
  • 2026

    Error Correction

    Optimized compilation for fault-tolerant circuits and dynamic qubit addressing are designed to make error correction practical at scale.

    Logical Qubits
    30
    Physical Qubits
    4,000
    Gate Performance
    99.90%
  • 2028

    Infleqtion Point

    Real-time atom reloading is designed to sustain larger arrays as the system advances toward demonstrations of exponential speedup.

    Logical Qubits
    100
    Physical Qubits
    10,000
    Gate Performance
    99.95%
  • 2030

    Utility Scale

    Soft-decoding enhancements and large-scale photonic beam steering are expected to support utility-scale quantum systems.

    Logical Qubits
    1,000
    Physical Qubits
    100,000
    Gate Performance
    99.99%

Showing 1 of 4 milestones

Logical Qubits

Why Logical Qubits Matter

Physical qubits are vulnerable to noise and loss. Logical qubits encode information across multiple physical qubits so defined errors can be detected or corrected. The goal is longer, more reliable computation, not a larger qubit count for its own sake.

Physical qubits arranged in a 10x3 grid

Applications

Putting Quantum to Work

Where quantum methods are being tested against real problems.

  • Quantum-simulated molecular model on dark navy background

    Materials Science

    Model Complex Materials

    Infleqtion demonstrated a materials science application in which logical qubits reduced error sixfold versus physical qubits.

    Explore Materials Science
  • Optical risk analysis instrument with sensor head on a tripod, dark navy background

    Finance

    Optimize Complex Decisions

    Develop quantum and hybrid methods for portfolio construction, risk modeling, and other high-dimensional optimization problems.

    Explore Finance
  • Battery cell research module on a dark navy background, glowing teal interior

    Life Sciences

    Expand Molecular Insight

    Explore molecular modeling, genomics, and biomanufacturing challenges with quantum and quantum-classical workflows.

    Explore Life Sciences

Showing 1 of 1 use cases

Our Process

Bring Your Hardest Problem Into Focus

Our applications team maps real-world objectives to hardware-aware quantum solutions and timelines.

  1. Define the Problem

    Identify the business or mission objective, success metrics, and constraints that matter.

  2. Design the Approach

    Map the challenge to quantum, classical, or hybrid methods and estimate required resources.

  3. Run and Learn

    Develop and test workflows using realistic simulation, benchmarks, and available hardware.

  4. Optimize and Scale

    Refine compilation and execution as hardware capability and application needs advance.

Frequently Asked Questions

Infleqtion’s roadmap charts Sqale’s progress toward larger, more reliable logical quantum computation. Infleqtion demonstrated two logical qubits in 2024, 12 in 2025, and 30 entangled logical qubits in 2026. The next roadmap targets are 100 logical qubits in 2028 and 1,000 in 2030.

As of September 2026, Infleqtion has demonstrated 30 entangled logical qubits in a single computation on its Sqale neutral atom quantum computer. The experiment used 80 physical qubits and approximately 1,000 physical quantum operations, or about 1 KiloQuOp.

Yes. Infleqtion achieved its 2026 roadmap milestone by demonstrating 30 logical qubits on Sqale. The experiment connected all 30 logical qubits in one entangled computation. Infleqtion is now working toward its next roadmap target of 100 logical qubits in 2028.

The result shows more than the ability to prepare 30 logical qubits. Infleqtion entangled all 30 in one coherent circuit and produced an experimental hit rate approximately 1,000 times the uniform-random baseline. This tests whether the logical qubits can work together in a computation, an essential step toward larger and more useful quantum programs.

With its 2026 roadmap achievement, Infleqtion is the first neutral atom quantum computing company to reach 30 logical qubits on a commercial system.

A physical qubit directly stores quantum information but is vulnerable to noise, loss, and operational errors. A logical qubit encodes information across multiple physical qubits so defined errors can be detected or corrected. Infleqtion’s 2026 experiment encoded 30 logical qubits across 80 physical qubits, using groups of eight atoms to encode three logical qubits.

Sqale has demonstrated important building blocks for fault-tolerant quantum computing, and Infleqtion is still working toward a utility-scale fault-tolerant system. The 2026 experiment operated with error detection and software-based loss correction. Infleqtion’s roadmap targets larger logical qubit systems and stronger error suppression as the platform advances.

Sqale combines individual qubit addressing with dynamically reconfigurable atom arrays. Individual addressing enables selected atoms to be entangled in place, while atom movement provides all-to-all connectivity when needed. This combination is designed to reduce unnecessary motion, accumulated error, atom loss, and runtime delays while supporting complex logical circuits.

Shape What Quantum Makes Possible

Bring us a challenge worth solving.

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