NEWIonQ Introduces Roadmap, Algorithmic Qubit MetricA true quantum leap
Introducing the first commercial trapped ion quantum computer. By manipulating individual atoms, it has the potential to one day solve problems beyond the capabilities of even the largest supercomputers.
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Our next-generation system features 32 qubits, minuscule gate errors, and an expected quantum volume greater than four million. Next year, it arrives on the cloud to accelerate research into solving humanity's hardest problems in chemistry, medicine, finance, logistics, and more.
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Powerful
Unparalleled gate depth
Connected
All-to-all, random-access connectivity
Precise
Atoms make better quantum computers
Flexible Ion Trap Technology
In an ultra-high vacuum chamber,The atmospheric pressure we experience on the surface of earth is about 760 torr. By comparison, the vacuum of space in near-earth orbit is ~10-6 torr. For quantum computing, we aim for 10-11 torr or better, to maximize isolation of our qubits from the environment.we dynamically deploy and trap atomic qubits on a silicon chip using electromagnetic fields. This allows our quantum cores to adjust their configuration in software, and scale to handle potentially hundreds of qubits without new hardware.
Atomic Precision
Unlike other systems that try to simulate the behavior of atomic particles, IonQ quantum cores compute using many identical ytterbium atoms.Ytterbium is a silvery rare earth metal first discovered in the late 19th century. As of 2018, ytterbium is used to make some of the most accurate atomic clocks in the world. For example, PTB built a single-ion clock one hundred times more accurate than the best cesium clocks. To create our qubits, we ionize ytterbium 171, removing one of its outermost electrons. Want to learn more about how it all works? Drop us a line or consider studying at UMD’s Joint Quantum Institute!As in ytterbium atomic clocks, isolating individual atoms reduces error and improves stability.
Laser Control
Precise lasers store information on our atomic qubits, perform logical operations, and connect them together in a quantum process called entanglement. With no fixed wires, the IonQ system can connect any two qubits with a single laser operation, increasing accuracy. By way of example, with full connectivity, when testing the Bernstein-Vazirani algorithm with a 10-qubit oracle, in the worst case we need simply 10 two-qubit gates. In a grid topology, with each qubit having 4 neighbors, you’d need 16 two-qubit gates. With a ring topology, you'd need 19 two-qubit gates. Since each additional gate introduces noise and thereby error, the fewer gates required, the higher quality the calculation.
