Quantum

Postquant Labs Launches Quip Virtual Machine for Quantum and Classical Computing

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Based on a feed excerpt; full article content has not been acquired. Source evidence retrieved 20/10/2026, 18:49:25 UTC.

Briefings

Postquant Labs launched the Quip Virtual Machine (QVM) on the Aglais testnet, a unified platform for quantum and classical computing. A live demonstration at Quantum.Tech World showed the QVM's quantum solver matching or beating classical solvers in 1,930 portfolio optimization races, with results differing by less than 0.5% in 99.9% of cases. The QVM uses a gas-based cost model where maximum costs are quoted upfront, addressing fragmentation between IBM, AWS, and Microsoft. Researchers from Monash University, Notre Dame, and Purdue are assessing the platform, with SiC Systems exploring industrial applications.

Key points

• The QVM launched on the Aglais testnet on October 20, 2026, supporting a constraint-based language across quantum annealers, gate-based systems, and classical hardware.
• In a live demonstration, the QVM's quantum solver matched or outperformed classical solvers in 1,930 portfolio optimization races, with results differing by less than 0.5% in 99.9% of cases.

Context

Postquant Labs, developer of quip.network, launched the QVM to unify fragmented quantum computing instruction sets and pricing models. Researchers from Monash University, Notre Dame, and Purdue are assessing the platform, while SiC Systems explores industrial optimization applications. The QVM uses a gas-based cost model with upfront pricing, addressing barriers like IBM's hardware-only pricing and Microsoft's $1,000 spend floor.

Limitations

Evidence covers only the Aglais testnet launch and a single live demonstration at Quantum.Tech World. Results are limited to 1,930 portfolio optimization races involving 100 visitors. The QVM is currently in beta; no production deployment data or long-term performance metrics are provided.

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