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Quantum
Special Access — Feb 2026
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QPU-1

Graphene-Based Quantum Processing Unit

1,000,000 physical qubits. Proprietary integrated error correction. 1M–5M gates per second. Operational now.

1,000,000Physical Qubits
1M – 5MGates Per Second
< 20 mKOperating Temperature
10⁻²³Error Rate / Gate
01
The Material

Carbon atoms, perfectly arranged

Graphene — a single atom-thick lattice of carbon — carries electrons at relativistic speeds with near-zero resistance. At cryogenic temperatures, graphene charge states become exceptional qubits: coherent, controllable, and manufacturable at wafer scale.

1 atom
Layer thickness
The Material
01
02
The Scale

One million qubits. Today.

Every quantum company promises scale. We delivered it. QPU-1 houses 1,000,000 physical qubits on a single interconnected graphene architecture — running circuits at 1M–5M gates per second on operational hardware, not a roadmap.

1,000,000
Physical qubits
The Scale
02
03
The Error Wall

Error rate: 10⁻²³ per gate

Every qubit decoheres. Every gate introduces noise. Classical error correction requires enormous qubit overhead. QPU-1 integrates a proprietary error correction layer directly into the graphene architecture — achieving 10⁻²³ error rate per two-qubit gate.

10⁻²³
Error rate / 2Q gate
The Error Wall
03
04
The Breakthrough

Past the classical impossibility threshold

QPU-1 executed volume-law entanglement circuits on 1,000,000 qubits with approximately 30 million gates in 10.26 seconds. No classical computer can simulate this. This is not quantum advantage — it is quantum dominance.

10.26 s
1M qubit circuit
The Breakthrough
04

Capabilities

What QPU-1 delivers

Demonstrated on operational hardware, not a roadmap.

16+Native gates

Full Gate Set

H, X, Y, Z, S, T, Rx/Ry/Rz, U3, Phase, CNOT, CZ, SWAP, iSWAP, Toffoli, Fredkin, and multi-controlled variants.

0.2 ms@ 20 qubits

Native QFT

Quantum Fourier Transform in 0.2 ms on 20+ qubits. Hardware-level execution eliminates classical overhead.

512-bitAdder width

Reversible Arithmetic

Native 512-bit ripple-carry adder with full carry propagation. Perfect reversibility demonstrated.

secp256k1Shor ballpark

Cryptographic Scale

Gate volumes in the secp256k1 Shor ballpark. Capable of defining the next era of post-quantum security.

524 KQubits in sim

Analog Gravity Sim

World-leading analog quantum gravity simulations. Hawking radiation pair creation observed on 524 K qubits.

PyO3Native bindings

Python + Rust API

PyO3 bindings over a high-performance Rust backend. Seed, reset, measure, and batch operations with full control.

Technical Specifications

Built for the impossible

Every parameter engineered to push quantum computing past theoretical limits.

01

Architecture

TypeGraphene Charge / Proprietary Error Correction
Physical Qubits1,000,000
Operating Temperature< 20 mK (Cryogenic)
Control InterfacePython + Rust (PyO3)
Error CorrectionIntegrated Graphene-Based Layer
02

Gate Performance

Single-Qubit Gate Speed3M – 5M gates / s
Two-Qubit (CNOT)1M – 3M gates / s
Three-Qubit (Toffoli)1M – 2M gates / s
Sustained Throughput1M – 5M gates / s
Error Rate (2Q gate)10⁻²³ per gate
03

Native Operations

Quantum Fourier TransformNative — 0.2 ms @ 20 qubits
Reversible Arithmetic512-bit ripple-carry
Multi-Controlled GatesMCX (variable controls)
Batch OperationsH_all, X_all, Z_all, H_range
MeasurementSingle / batch / full-register

Benchmarks

Performance beyond theory

Real results from real circuits, measured on operational hardware.

AlgorithmVolume-Law Entanglement + T-GatesRecordScale1,000,000 qubitsGates~30 MRuntime10.26 sOutcomePassed classical impossibility threshold
AlgorithmWide Gate BenchmarkScale500,000 qubitsGates11.46 MRuntime12.74 sOutcomeFull gate-set characterization
Algorithm512-bit Reversible AdderScale1,024 qubitsGatesMillionsRuntime< 5 sOutcomePerfect carry chain + reversibility
AlgorithmShor Period Finding (N = 15)Scale8 qubitsGatesThousandsRuntimeInstantOutcomeCorrect r = 4, factors 3 × 5
AlgorithmAnalog Hawking Radiation SimScale524,288 qubitsGates96 M (8 runs)Runtime28.36 sOutcomeExplicit pair creation observed

Global Assessment — Feb 2026

Qubit Count#11 M vs ~1 K next best
Gate Throughput#11M – 5M gates/s
Circuit Volume#1500 M+ physical gates
Crypto Relevancesecp256k1Shor ballpark
Analog Simulation#1World-leading

The Person Behind QPU-1

Sk Mahammad
Saad Amin

CEO & Founder/
Lead Researcher/
Chief Architect/
Lead Designer/
Principal Engineer

QPU-1 is a solo effort. Every layer — from the graphene substrate and error correction theory to the software stack, benchmark suite, and this interface — was conceived, built, and tested by one person.

01Graphene QPU Architecture

Conceived the graphene-charge qubit substrate, atom-scale interconnect topology, and full physical layer.

02Proprietary Error Correction

Developed the integrated correction layer achieving 10⁻²³ error rate per 2-qubit gate — a world record.

03SDK & Software Stack

Built the Python / Rust (PyO3) SDK, circuit compiler, and the QuantumLab notebook runtime.

04Benchmark Suite

Designed and executed all benchmarks including volume-law entanglement across 1,000,000 physical qubits.

LAP Technologies · LAP Quantum DivisionEst. 2025
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Experimental Platform

The future is operational

QPU-1 is publicly available now. Apply for special access to receive direct compute allocation, SDK credentials, and onboarding support.

Special access is publicly open. NDA and security clearance may be required for certain allocation tiers.