Companies like Uber and Google are moving into hard tech, such as self-driving cars and quantum computing, to establish long-term defensibility.

When forming a team for a quantum computing startup, it's crucial to have individuals with diverse expertise. Effective communication across different areas of knowledge, such as software and control engineering, is vital for success in this complex field.

In the last three years, there's been a surge of interest from companies wanting to collaborate with academics on quantum computing research, marking a significant shift from previous years when companies were hesitant to invest.

Successful hard tech ventures can create monumental leverage and defensibility, similar to the impact of the Manhattan Project and the Apollo missions, which are not captured in quarterly reports but in the stories that inspire humanity. Working on significant problems can lead organizations to venture into hard tech to access impactful solutions.

The quantum computing field is diversifying, and there are now opportunities for software engineers and systems engineers to contribute without needing deep quantum physics knowledge.

Network approaches to quantum computing enable any qubit to link with any other qubit, enhancing connectivity and power, despite the increased risk of errors if not managed correctly.

We've created new simulation-driven design methods and our own microfabrication capabilities to develop quantum chips, which are essential for our technology.

In quantum computing, the challenge is to keep qubits isolated to prevent decoherence, which can be achieved through various techniques, including using vacuum chambers and ion traps.

Quantum computing offers a faster and cheaper path to achieving high levels of computing power compared to traditional methods.