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Postquant Labs launches QVM to unify quantum code execution
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Postquant Labs launches QVM to unify quantum code execution

US startup introduces a virtual machine allowing developers to run code across various quantum and classical systems without rewriting it for each platform.

Key points

  • Quip Virtual Machine enables code portability across quantum annealers, gate-based systems, and conventional computers.
  • The system uses a gas-based pricing model to provide cost predictability before job execution.
  • Postquant Labs reports quantum solvers matched or outperformed classical solvers in portfolio tests.

Postquant Labs has released the Quip Virtual Machine, a software layer designed to standardize quantum computing operations. According to The Next Web, this US startup aims to solve the fragmentation problem where code written for one quantum machine often requires rewriting for another. The QVM allows developers to write code once and execute it across different quantum architectures and conventional machines. This launch targets organizations struggling with the current lack of interoperability between major quantum computing providers, who currently maintain distinct programming tools and pricing systems.

What problem does this virtual machine solve?

Quantum computing infrastructure currently lacks a unified instruction set, forcing developers to adapt their code for each specific machine or provider. Postquant Labs created the QVM to provide a common operational layer. This abstraction allows programs to run on quantum annealers, which focus on optimization problems, as well as gate-based quantum computers and standard classical hardware. By removing the need to rewrite code for each environment, the company intends to lower the barrier to entry for developers who face steep learning curves with disparate assembler languages and instruction sets.

How does the pricing and verification model work?

The company has implemented a pricing mechanism inspired by Ethereum, utilizing a unit called gas to calculate the cost of computational jobs. According to Postquant Labs, the final price depends on specific factors including the number of qubits used, the duration of the job, and the required level of entanglement. This system allows developers to view the maximum potential cost before initiating a run, addressing a common concern regarding unpredictable computing expenses. Additionally, the platform includes verification methods such as comparing quantum outputs with classical simulations and digitally signing results to identify the originating machine.

What performance data has been presented?

During the Quantum.Tech World conference, Postquant Labs demonstrated the QVM using an investment portfolio selection task. The company ran 1,930 comparisons between quantum and classical solvers. Postquant Labs stated that its quantum solver matched or outperformed the classical counterpart in every instance. When a performance difference exceeded 0.5%, the company reported a median advantage of 2.56% for the quantum solver. These figures are self-reported by the startup and do not constitute independent validation that quantum computers generally surpass conventional ones for investment-related workloads.

Questions to ask your suppliers

Organizations evaluating this technology should ask vendors how they handle code portability across different hardware backends. Teams usually need to understand whether a supplier relies on proprietary instruction sets or supports standardized virtual machines like the QVM. Check whether the provider offers transparent pricing models that allow for cost estimation before execution. Security operations should verify how results are authenticated and whether cross-platform verification methods are available. Ensure that risk management teams are informed about the experimental nature of current performance claims and the lack of independent benchmarks.

What to do and how to stay safe: Postquant Labs

  • Evaluate whether your current quantum computing strategy requires code rewriting for each new hardware platform.
  • Monitor vendor announcements for support of standardized virtual machines or instruction sets to reduce integration costs.
  • Verify that any quantum computing provider offers transparent pricing and result verification mechanisms before committing resources.
  • Assess the operational risk of relying on self-reported performance benchmarks without independent third-party validation.

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Frequently asked questions

What is the Quip Virtual Machine?

It is a software layer launched by Postquant Labs that allows developers to run code across different quantum and classical machines without rewriting it.

How does the pricing system work?

The system uses a gas-based model where costs depend on qubits used, job duration, and entanglement levels, allowing developers to see maximum costs beforehand.

Did the quantum solver outperform classical ones in tests?

Postquant Labs reported that its quantum solver matched or outperformed classical solvers in all 1,930 comparisons during a portfolio selection task.

Sources

  1. The Next Web
Postquant LabsQuip Virtual MachineQVMquantum computing

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