Exclusive: BQP CEO says NVIDIA partnership pulls quantum progress forward

Investing.com -- BQP gained increased attention in the quantum-computing sector in November following the announcement that the company had partnered with NVIDIA and Classiq on a new demonstration that combines quantum and classical computing for advanced simulation workflows.

The collaboration uses NVIDIA’s CUDA-Q simulator alongside Classiq’s circuit-optimisation platform and BQP’s quantum algorithms to test hybrid configurations long before commercial quantum hardware becomes widely available.

Abhishek Chopra, BQP’s chief executive and co-founder, told Investing.com that the development marks a meaningful acceleration in the timeline for practical quantum computing.

“This partnership is accelerating quantum research and development by years, bringing capabilities we thought were five years away much closer to reality,” he stated.

The fundamental challenge, according to Chopra, is that quantum processors remain scarce, but the software that will eventually run on them needs to be designed and validated now.

BQP develops algorithms for computational fluid dynamics and digital-twin applications, with Classiq compressing those circuits to make them more efficient.

NVIDIA’s GPU-powered simulator then provides the environment to test how CPU, GPU and quantum components will work together.

Chopra said the speed gains are substantial. “A single test might take 10 hours. With NVIDIA’s GPU-powered simulator, that same experiment now takes a couple of hours.”

That improvement allows the company to run more experiments, test more configurations and shorten product-development cycles.

The immediate outcome, he noted, is faster experimentation, enabling BQP to identify the most efficient quantum approaches earlier.

The work is also said to position the company’s customers, who already use quantum-inspired methods on classical infrastructure, to transition smoothly when quantum hardware reaches commercial maturity.

Furthermore, Chopra explained that BQP also works with IBM and Intel, with these relationships sitting alongside the new collaboration.

IBM provides the hardware foundation that guides BQP’s algorithm design, while Intel contributes middleware that supports hybrid deployments.

Chopra remarked: “These relationships are parallel but complementary. IBM’s hardware roadmap guides what we build; middleware solutions like those from Intel and Classiq determine how efficiently we can build and deploy it.

“Together, they help us create a complete quantum-ready stack that will transition smoothly from today’s hybrid classical-quantum systems to tomorrow’s fully quantum-native infrastructure.”

Looking ahead, BQP believes there will be “much deeper” collaboration with Nvidia and Classiq, with “many more challenges to solve,” such as optimizing how software and hardware interact, improving efficiency across hybrid systems, building the workflows that will define how quantum and classical computing work together in production environments.

“We’re excited to go deeper with both NVIDIA and Classiq to tackle these problems and accelerate the path to practical quantum computing for industrial applications,” Chopra commented.

You May Also Be Interested In

• LG Group said to adopt 10,000 Nvidia GPUs for AI development
• Putin says Russia ready to compromise on Ukraine peace deal
• Jefferies downgrades CMS energy after surprise CFO exit, cuts target to hold woes