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AQC 2016 - Roadmap for Building a Quantum Computer
Discover the roadmap to building a practical quantum computer, discussing challenges, solutions, and the potential for exponential problem-solving power, and learn how analog machines can harness this power to achieve better results.
- Quantum computers have to overcome errors to be useful.
- Building a useful quantum computer is a long road.
- Exponential power is the key to a quantum computer’s ability to solve problems faster than classical computers.
- A simple test for quantum computers is to implement a Clifford group on two qubits and add a non-Clifford operation.
- Resorting to analog machines or quantum annealing is a viable approach to harnessing exponential power.
- Low-depth circuits can get approximate solutions to combinatorial problems.
- Errors are fundamental to quantum mechanics and make it fragile.
- Digital quantum computers are fragile to errors and may not be useful in practice.
- Analog machines like the D-Wave machine are more resilient to errors.
- There are still many challenges to overcome, including errors, coherence, and scalability.
- Researchers are working on improving the coherence of quantum computers and building practical machines.
- Experimenting with single qubits and entangling multiple qubits is key to advancing the field.
- Quantum computers will not be useful for solving all problems; they will be useful for specific applications like optimization and simulation.
- A quantum computer with exponential power will be able to solve problems that are difficult or impossible for classical computers to solve.
- Researchers are working on building a scalable quantum computer that can execute low-depth circuits and solve real-world problems.