QLU™ produces error-corrected compilations of quantum algorithms and executes them on neutral-atom quantum hardware.
Architecture
The QLU™ software stack combines four parts:
Every stage is built for neutral atoms, down to the machine instruction set.
Compounding gains at every stage
High-encoding-rate error correction codes cut the number of physical qubits each logical qubit costs.
State-of-the-art optimization, both at the circuit level and in hardware instruction scheduling, shortens runtime.
Decoding keeps pace with the machine, returning corrections within the latency the hardware allows.
Designing the algorithm, the error correction, and the hardware together compounds these gains into orders of magnitude in both time and space.
Inside QLU™
Built for a purpose
QLU™ is application-specific and hardware-specific by design: optimizing for one class of problems on one architecture is what lets it push today’s quantum processors to their limits.
Application-specific. QPerfect, a wholly owned subsidiary of BTQ Technologies, works with BTQ to deliver a quantum advantage for cryptographic and secure applications. QLU™ compiles and optimizes BTQ’s One-Shot Signatures (OSS) protocol for fault-tolerant execution: an unforgeable, single-use digital signature scheme that relies on the physics of quantum measurement for its security guarantees. BTQ’s cryptography expertise shapes what QLU™ optimizes for, and the error correction is co-designed with the logical algorithm.
Hardware-specific. QLU™ is built for neutral atoms, drawing on the expertise of CESQ, our co-founders, and the QPerfect team. Neutral atoms are well suited to cryptographic applications, where stable quantum memory matters more than gate speed.
Who QLU™ is for
Commercial advantage needs millions of qubits and operations, well beyond today’s proofs of concept. QLU™ is built for that regime.
QLU™ improves machine performance: fewer physical qubits and gates per logical operation, higher effective fidelity, shorter run times, and compilation-informed hardware design. The result is the maximum value extracted from today’s hardware, and utility scale reached sooner.
QLU™ helps solve real problems that would otherwise be out of reach: an optimal mapping of the application to hardware, the minimum resources required to implement it, and execution on a real machine.
QLU™ helps design more efficient algorithms and test their performance on emulated machines today.
Better together
The Digital Twin inside QLU™ is powered by MIMIQ™, so the job you rehearse is the job that runs.
Step 01 · Benchmark
Prototype and simulate the algorithm with classical computation, at the algorithmic and logical level, before committing to hardware.
Step 02 · Estimate
Get real resource estimates, qubits and time, for the algorithm on a real machine, and compare error correction codes and backends before choosing one.
Step 03 · Rehearse
Run the same compiled job on a hardware-faithful model of the neutral-atom machine, and see what it did: atom movement, error events, and logical state.
Step 04 · Run
Execute the same compiled job on real neutral-atom quantum hardware, with real-time decoding keeping pace with the machine.
Hardware providers, industry partners, and research groups: get in touch to explore how QLU™ can take your quantum roadmap from emulation to a real machine.