Timelines for reaching practical quantum computers are strongly debated. Part of this debate centers on the definition of practical quantum computing itself. For most, the system would need to offer a broad quantum advantage—meaning a quantum computer outperforms classical computers over a range of useful problems—and attain full-scale fault-tolerant quantum computing (FTQC). A quantum computer would also need to be capable of running accurate and reliable computations for arbitrarily long periods.
Achieving commercially available, practical quantum computing faces several major challenges:
- Scaling up the number of usable (logical) qubits while reliably preserving their quantum states; for example, qubit stability—the ability of quantum bits to maintain their delicate quantum states—is often threatened by noise or unwanted disturbances within quantum systems.
- Developing efficient and robust error correction methods.
- Ensuring seamless integration between quantum and classical computing systems.
- Competing for talent given the scarcity of professionals who possess expertise in both quantum mechanics and computer science.
Unlike big technology companies that have significant capital and resources to allocate to in-house quantum initiatives, startups are reliant on equity financing to meet substantial capital needs.
The capital-intensive nature of the sector motivated a cohort of quantum startups to go public during the 2021 to 2022 period, with most opting for a reverse merger. Although this group had raised nearly $600 million in private markets, access to larger pools of capital was necessary. To date, this cohort has raised approximately $3.4 billion from public market investors.
The federal government also plays a vital role in advancing the industry through grants and contracts. The National Quantum Initiative Act (NQI Act), established in 2018, had a five-year budget of over $1.2 billion. This is in addition to baseline government funding for quantum information science (QIS), an interdisciplinary field that merges quantum mechanics with information theory and computer science.