BlueQubit is launching the $150,000 Quantum Flywheel grant program, offering researchers access to IBM quantum computers, Amazon Web Services, and NVIDIA accelerated computing resources. The three-month initiative aims to overcome hardware bottlenecks hindering quantum research by providing cloud compute credits and BlueQubit’s quantum development environment.
Teams will focus on developing algorithms, rigorously testing quantum advantage claims with classical simulation techniques, and advancing quantum error correction. “The time has come to bring the best AI tools to quantum computing,” says Hrant Gharibyan, CEO and Co-founder of BlueQubit, emphasizing a focus on establishing open, reproducible benchmarks for the field.
Quantum Flywheel Program: $150K Grants for AWS, IBM, NVIDIA Access
BlueQubit’s Quantum Flywheel program will provide selected research teams with direct access to NVIDIA GPU instances on Amazon Web Services, supplementing compute resources for quantum processing unit (QPU) and central processing unit (CPU) workloads. This pairing of classical and quantum hardware aims to overcome a critical impediment to progress: the difficulty of validating computationally intensive quantum hypotheses, despite advances in artificial intelligence. The $150,000 initiative, supported by IBM and NVIDIA, focuses on accelerating research through readily available compute credits and a quantum-native development environment.
Researchers accepted into the three-month program will specifically develop and test quantum algorithms on IBM quantum computers, concentrating on areas like simulation and optimization where classical computing falters. A key component of the program is rigorous testing of published claims of quantum advantage using techniques such as tensor networks and Pauli-path methods.
This approach moves beyond simply demonstrating quantum speedup to actively verifying its robustness against increasingly sophisticated classical algorithms. BlueQubit’s platform ensures support throughout the entire process, from code generation to QPU execution on IBM hardware. Beyond algorithm development and verification, the program also invites proposals centered on artificial intelligence-driven quantum error correction. Teams will explore using frontier AI agents to discover and evaluate novel error-correction codes, an important step toward building fault-tolerant quantum computers.
The company, founded in 2022, recently secured $1.5 million in funding from the US Department of Energy, further bolstering its QSaaS platform. BlueQubit’s platform provides access to both IBM Heron processors and Quantinuum H2 quantum processors, alongside GPU-based quantum emulation that the company claims runs 100 times faster than alternatives. The five-week submission window for proposals is now open, with selected researchers receiving continuous hardware and compute access for three months.
By combining AI-driven circuit design with real hardware access, BlueQubit intends to foster open, reproducible benchmarks for the global scientific community and accelerate fundamental quantum information science. The program’s emphasis on verifiable results and accessible resources represents a deliberate effort to address bottlenecks hindering the field’s advancement.
We are particularly excited about two areas where AI can have an outsized impact: discovering novel quantum algorithms alongside classical heuristic methods to rigorously test for quantum advantage and advancing error correction to pave the way toward fault-tolerant quantum computing.
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