AI for Quantum

IEEE Quantum Week in Albuquerque: AI and Quantum Computing at IBM Quantum

Attending IEEE Quantum Week in Albuquerque, New Mexico, sharing IBM Quantum's work at the intersection of AI and Quantum Computing. Presenting on QPU time prediction with ML, AI methods for quantum circuit optimization, and demoing AI-powered quantum development environments.

Quantum Verifiable Rewards for Post-Training Qiskit Code Assistant

Released a new paper on a novel approach to train AI models that can write better quantum code using Qiskit. The approach uses quantum verification at the core, smart training pipeline with DPO and GRPO, and real quantum feedback to ensure generated code works in practice.

AI Transpiler Passes Enable Quantum Volume Breakthrough on IBM Hardware

Celebrating the impact of AI transpiler passes on IBM's quantum hardware achievements. Our team's work on AI-powered transpilation helped enable quantum volume milestones of 1024 and 2048 on IBM's r3 beta QPU (ibm_pittsburgh).

Among IBM Giants and Pioneers: Reflections from IBM Tech 2025 in Singapore

Attended IBM Tech 2025 in Singapore, an exclusive invitation-only gathering of IBM top technical talent from around the world. Deep discussions on AI, quantum computing, and emerging technologies with brilliant colleagues across different technical disciplines.

Pauli Network Circuit Synthesis with Reinforcement Learning Paper Published

Celebrating the arxiv publication of the Pauli Network Circuit Synthesis with Reinforcement Learning paper. The AI-powered transpiler pass has been available in the Qiskit Transpiler Service since November 2024, as presented at Quantum Developer Conference 2024.

New Qiskit HumanEval Release: Qiskit 1.4 Compatibility and Benchmark Improvements

Released a new version of Qiskit HumanEval compatible with Qiskit 1.4, featuring significant improvements to the benchmark including more robust and rigorous code execution tests for more accurate evaluations of LLM-generated quantum code.

Granite-8B-Qiskit-RC-0.10: Updated Checkpoint Using Current Training Approach

Released granite-8b-qiskit-rc-0.10, the latest revision of the LLMs that empower Qiskit Code Assistant. Trained on significantly expanded Qiskit synthetic dataset, this marks the final model using the current training approach as we pivot to newer Granite base models and cutting-edge techniques.

Shipping Granite-8B-Qiskit-RC-0.10: The Final Model of Current Training Era

Shipped granite-8b-qiskit-rc-0.10, the latest revision of LLMs empowering Qiskit Code Assistant. Trained on significantly expanded Qiskit synthetic dataset, marking the end of an era as the final model using current training approach before pivoting to newer Granite base models.

qiskit-ibm-transpiler Ranks #4 in Unitary Fund 2024 Survey

Celebrating qiskit-ibm-transpiler recognition as the 4th most used quantum computing development tool globally in the 2024 Unitary Fund survey. A remarkable achievement for a project with just 1 year of public existence, combining Qiskit heuristic algorithms with novel AI transpiler passes.

Quantum Developer Conference 2024: Showcasing AI-Powered Quantum Tools

Excited to participate in the Quantum Developer Conference 2024 at IBM Thomas J. Watson Research Center, networking with quantum computing professionals and showcasing new developments at the intersection of AI and quantum computing - featuring the Qiskit Code Assistant and AI-powered transpiler passes.