Qubits have applications in many areas of quantum information science
Quantum computing
Quantum key distribution
Quantum sensing
Quantum computers have the potential to solve many intractable problems that are infeasible to solve on any classical computer
Simulation of quantum mechanics cannot be simulated with a normal computer but can be done with a quantum computer
Quantum computers may have an advantage over classical computers at solving problems that have nothing to do with quantum physics
Prime factorization of an integer is possible in polynomial time by a quantum computer
Evidence for a limited quantum speedup for template-free protein structure prediction
Chuang et al. used molecules of chloroform molecules as a quantum computer
Nuclear magnetic resonance was used to orient the spins of the carbon and hydrogen nuclei
The qubit state was defined as whether the nuclei had a spin parallel or antiparallel to the external magnetic field
Radio frequency pulses were then used to manipulate the spin states
Ran Grover’s search algorithm
A qubit can be any quantum two-level system that satisfies the 5 requirements of the DiVincenzo criteria
All quantum states can be expressed as a linear combination of other valid quantum states
Measurement of one particle results in its entangled particle to have a definitive result regardless of the distance between the two
Major hardware candidates for industrial quantum computers and their properties.
2016: Ballance et al. used trapped-ion hyperfine qubits to demonstrate two- and single-qubit logic gates with fidelities of 99.9(1)% and 99.9934(3)% respectively.
Continuation of Benhelm’s 2008 paper which reported fidelities of 99.3(1)% for a two-qubit gate.
This substantial increase in fidelity means that the number of physical qubits (i.e., the trapped ions) will scale more reasonably with the number of logical qubits required for a computation
2014: Barends et al. demonstrated an average single-qubit gate fidelity of 99.92% and a two-qubit gate fidelity of 99.4%
Continuation to Chow’s work in 2013 where a two-qubit gate fidelity of 96% was reported
Barends et al. used the surface code approach for error correction which uses nearest-neighbor coupling and rapidly cycled entangled gates to enable fault tolerance
Awschalom: NV centers consist of a substitutional nitrogen atom next to a missing carbon atom in a diamond lattice
At the carbon vacancy, six electrons are trapped whose spin can be using as a qubit
Electron spins are also coupled to nuclear spins which can together form a single node in a quantum computer
Maintain spin coherence through wide range of temperatures, including room temperature!
High potential for scalability
Nodes connected optically
Wasielewski: Control of structure and composition of molecular qubits can mitigate decoherence sources
Synthesizing zero-dimensional particles into higher-dimensional assemblies allows for more precise control of the electronic structure
Noisy intermediate-scale quantum (NISQ) computing to fault-tolerant quantum computing (FTQC).
Minimize decoherence of qubits to classical bits
Increase connectivity of qubits
Research into novel viable host materials for qubits
Scaling of qubits
Qudits allow high dimensional computing without having to connect multiple qubits
Proof of quantum advantage
Quantum supremacy achieved