Conductor Quantum

Quantum computing is moving fast. Keeping up with it should not be this hard. We got tired of bouncing between scattered sources for QPU benchmarks, company data, and industry news. So we built QubitGecko. With QubitGecko, you can track: - QPU rankings - market data across quantum companies - curated industry news Plus a daily newsletter if you want the latest updates delivered straight to your inbox. Check it out: https://www.qubitgecko.com

Your AI agents can now use quantum computers. Today we’re announcing Coda MCP, Conductor Quantum’s Model Context Protocol server for quantum computing. Coda is our natural language interface for quantum computers. Coda MCP gives AI agents a single interface for transpilation, simulation, and execution on quantum computers. This includes:  • Multi-provider quantum computer access across IBM, AQT, IQM, IonQ, and Rigetti, representing more than 1,000 qubits in total  • Cross-framework transpilation, including IBM Qiskit and NVIDIA CUDA-Q  • Simulations up to 34 qubits, supported by the NVIDIA cuQuantum libraries and NVIDIA CUDA-Q Available now for any human or AI with a Coda account. The real promise of quantum computing lies in opening new paths to scientific discovery beyond the reach of classical computing. That means reducing friction between ideas, software frameworks, simulators, and real quantum systems, so researchers and developers can iterate more quickly on problems in materials, chemistry, optimization, and other frontier domains. Coda MCP is an important step in that direction: infrastructure for a new kind of workflow where AI agents do more than generate code. They can help plan, execute, compare, and refine quantum experiments across simulation and hardware. Over time, we believe interfaces like this can become part of the infrastructure for agentic scientific discovery. Learn more and get started by clicking below 👇 https://lnkd.in/gF99K7cV

One of the core things we build at Conductor Quantum is control software. It sits between experimental hardware and the algorithms that eventually run on a quantum computer. A big part of that work is automating experiments researchers have traditionally done by hand to characterize and control qubits. For spin qubits, one of the first key measurements is a Coulomb diamond experiment. It helps determine whether electrons have been successfully trapped in a quantum dot and reveals important properties of the device. The interesting part is that analyzing this data is really a machine learning problem. You have structured measurement data, noisy signals, and geometric patterns that need to be detected reliably. At Conductor, we build specialized AI models as part of our control software to analyze this kind of quantum device data automatically. We have also built internal systems that generate and curate training data from both simulations and real experiments, with AI agents helping orchestrate training and evaluation. This kind of automation is a big part of how we operate. It helps us stay lean, move fast, and turn complex experimental workflows into scalable software. Today, we’re releasing Coulomb Diamond Detector v2. It automatically detects Coulomb diamonds and extracts the key features researchers care about. Trained using our internal AI agent setup, it is our best Coulomb diamond detector yet according to our internal benchmarks, and it often picks up noisy quantum features more reliably than manual inspection. It is one more step toward a much bigger goal: fully automated characterization and control of quantum hardware. Learn more: https://lnkd.in/gCw7NXXX If this kind of work sounds interesting, we’re hiring: https://lnkd.in/e47TuHpw

Everyone claims to have the best quantum computer. But how do you actually compare them? Today we are launching the Coda QPU Leaderboard. With 1,000+ qubits available on Coda, you can now see how the world’s leading quantum processors compare across metrics like 2Q gate fidelity, 1Q fidelity, readout fidelity, and uptime. Our goal is simple. Make Coda the source of truth for QPU performance. This is just the first version. We will keep improving how we benchmark and rank QPUs over time, and we would love feedback from the community on how these systems should be evaluated. Check it out: https://lnkd.in/gqZ2Crsa

We’ve integrated AI into our lab workflows to accelerate development of our electrons-on-helium qubit technology and streamline complex experimental tuning. In collaboration with Conductor Quantum, we’re leveraging intelligent control systems to speed iteration cycles, improve reproducibility, and advance toward scalable quantum architectures. We’re excited about what this means for practical quantum computing. Read more in our latest blog post from EeroQ. 🔗🔗 https://lnkd.in/gN4Nyfsd

We're hiring for Quantum Engineers at Conductor Quantum with backgrounds in either Spin or Superconducting Qubits: https://lnkd.in/e47TuHpw

This week, something exciting quietly went live and I could not wait to share it with our Girls in Quantum community. #Coda by Conductor Quantum is officially live. If you have been curious about quantum computing but did not know where to begin, this is a beautiful entry point. The goal is simple and powerful: make quantum more accessible by giving beginners an intuitive way to start exploring hands on. At Girls in Quantum, we often talk about lowering the barrier to entry. Talent is everywhere. Opportunity is not. Tools like Coda help close that gap by giving students a space to experiment, build intuition, and engage with quantum concepts without feeling overwhelmed. If you are a high school student discovering quantum for the first time, an undergraduate considering research, or simply someone fascinated by emerging technology, I encourage you to try it. You can sign up here: https://lnkd.in/enxyXYRj If you test it, I would genuinely love to hear what you think. What felt clear. What felt challenging. What you would improve. Your feedback matters not only to us, but to the future of accessible quantum education. Let us continue building a quantum ecosystem where access, clarity, and community come first.

Conductor Quantum is hiring quantum engineers. We’re based in San Francisco and work with partners around the world. We build AI software to control quantum computers from the ground up and put them online. The work sits deep in hardware, systems engineering, and software. The learning rate here is very high. We operate like a real Y Combinator startup, shipping multiple features per day, but in quantum. You’ll touch real systems, learn fast, and see your work land quickly. The past few weeks have been tough with layoffs, but there’s still important work to do. If you’re coming from the spin qubit world and want to stay close to hardware while building cutting-edge software, we’d love to talk. Open roles: https://lnkd.in/gVqacmKM DMs are open.