About Us

Who is Conductor Quantum? Software to Unlock the Future of Scalable Quantum Computing

Quantum computing holds immense promise for solving complex problems in artificial intelligence, materials science, and optimization. Despite the hype, two challenges loom large:

• Scalability: How do we scale systems to millions or billions of qubits?
• Utilization: Once we have qubits, how do we make quantum computers practical and accessible?

These challenges are deeply intertwined. Without scalable systems, utilization remains a distant dream. And without better software tools, scaling quantum hardware will stall.

But the vision is clear: quantum computers can and should be as transformative as classical ones. The question is not just “when” but “how.”

Scaling: The Key to Quantum’s Potential

Everyone has qubits, and many platforms—superconducting circuits, neutral atoms, photonics, ion traps, semiconductor spin qubits—are approaching or have reached fault-tolerant thresholds. But scalability is not just better qubits. It’s about solving the entire system-level enigma:

• How do we make millions of qubits?
• How do we initialize them?
• How do we calibrate them?
• How do we connect them together?

Take semiconductor spin qubits as an example. Each device requires careful tuning of voltages applied to gate electrodes to isolate individual electrons and form qubits. This process varies from device to device, arising from events such as atomic defects and trapped charges.

And this is just step one. After forming qubits, engineers still need to optimize readout, pulses, and gate performance. Imagine repeating this process for billions of qubits - manual calibration simply will not scale.

Automation is not optional; it is essential.

1. Short-term wins: Automating calibration accelerates development cycles. Researchers can focus on testing and iterating, rather than spending days fine-tuning parameters. The bottleneck shifts from human effort to fixed physical constraints, such as device preparation and cryogenic thermal cycle time.
2. Long-term scale: A fault-tolerant quantum computer may require millions if not billions of qubits. Without automated procedures, building and maintaining such systems would be impossible.

Already, quantum computing as a whole is advancing: Qubits that work at higher temperatures, foundry compatible device manufacture, and logical qubit numbers in the tens. But, automation in tuning and calibration remains the critical enabler for scalable quantum devices.

Why We Started Conductor Quantum

During our PhDs, we saw firsthand how hardware innovation outpaced software development. Quantum research groups and startups had world-class engineers building cutting-edge hardware. But software? That was often an afterthought.

Without software to control and calibrate quantum devices, the number of qubits an engineer can manage is physically limited. This might be fine for early-stage academic research but it will not work for building quantum computers with millions of qubits.

We’ve been there:

• Weeks spent manually tuning experimental parameters just to get a device operational.
• Days lost to repetitive tasks that felt like they could—and should—be automated.

It was clear to us that software could be the game-changer. Conductor Quantum was born to address this gap.

What Makes Conductor Quantum Different?

At Conductor Quantum, we bring a unique blend of technical expertise and practical experience:

Brandon Severin

• PhD from Oxford specializing in AI for quantum computing in silicon.
• Developed algorithms for creating and calibrating semiconductor quantum dots and spin qubits resulting in multiple peer-reviewed publications.
• Broad software expertise, from machine learning models to hardware integration.

Joel Pendleton

• Experience at deep-tech startups, including Quantum Motion, C12 and QuantrolOx.
• Built software for tuning-up and calibrating superconducting qubits.
• Skilled in full-stack web development, machine learning and quantum control systems.

Together, we understand quantum hardware and how to build the software it needs to scale.

Real-World Impact: Faster, Smarter Quantum Development

Our software enables researchers to:

• Rapidly tune and calibrate devices: Minutes instead of weeks.
• Iterate faster: Measure, learn, fabricate, and improve without manual bottlenecks.
• Bridge the gap: Allow non-specialists to harness quantum power through intuitive interfaces.

Imagine a future where a researcher could design a drug, and a quantum computer simulates its interactions with the human body instantly. Conductor Quantum is paving the road as we race towards this future.

Our Vision: Democratization of Quantum

We envision a world where quantum computing is as accessible as our personal computers are today:

• Systems that are easy to use, maintain, and deploy.
• Software that abstracts away complexity, letting users focus on problems, not hardware.
• Layers of innovation—from the basic input/output system to the operating system and user-facing applications—that make quantum computing truly universal.

Today’s classical computers rely on a vast software stack we take for granted, from basic instruction sets to high-level applications. Quantum computing will require the same—and we’re building it.

Join Us in Building the Quantum Future

We are an American company headquartered in San Francisco, California. We are assembling a leveraged pack of hungry animals and cracked engineers whose sole focus is to develop software to enable fault-tolerant quantum computation.

If you would like to expand the quantum frontier and solve one of the hardest technological challenges of our time, this is your chance.

Join us.

Conductor Quantum, Inc.
founders@conductorquantum.com