Complex problems need powerful computing

We make it possible for everyone to think bigger, create faster, and see further. By infusing AI and machine learning, our quantum solutions give you the power to solve the world’s most important and pressing problems.

The Machine

1Shell

When the computer is operational, five casings (like the white one shown at the top of the image) envelop the machine. These cans nest inside each other and act as thermal shields, keeping everything super cold and vacuum-sealed inside.

The Machine

2Nerves

These photon-carrying cables deliver signals to and from the chip to drive qubit operations and return the measured results.

The Machine

3Heart

Beneath the heat exchangers sits the “mixing chamber.” Inside, different forms of liquid helium—helium-3 and helium-4—separate and evaporate, diffusing the heat.

The Machine

4Skeleton

These gold plates separate cooling zones. At the bottom, they plunge to one-hundredth of a Kelvin—hundreds of times as cold as outer space.

The Machine

5Brain

The QPU (quantum processing unit) features a gold-plated copper disk with a silicon chip inside that contains the machine’s brain.

Think quantum

Complex problems need powerful computing

The Machine

1Shell

2Nerves

These photon-carrying cables deliver signals to and from the chip to drive qubit operations and return the measured results.

3Heart

Beneath the heat exchangers sits the “mixing chamber.” Inside, different forms of liquid helium—helium-3 and helium-4—separate and evaporate, diffusing the heat.

4Skeleton

These gold plates separate cooling zones. At the bottom, they plunge to one-hundredth of a Kelvin—hundreds of times as cold as outer space.

5Brain

The QPU (quantum processing unit) features a gold-plated copper disk with a silicon chip inside that contains the machine’s brain.

Rigetti Right Now

Aspen-M-3		Median Time Duration (µs)		Median Fidelity (per op.)
Deployed	12.02.22	T1 Lifetime	22	Single-qubit gates	99.9%
Qubits	80	T2 Lifetime	24	Two-qubit gates (CZ)	90.6%
				Two-qubit gates (XY)	91.8%

Aspen-M-3

Deployed

12.02.22

Qubits

Median Time Duration

T1 Lifetime

T2 Lifetime

Median Fidelity (per op.)

Single-qubit Gates

99.9%

Two-qubit gates (CZ)

90.6%

Two-qubit gates (XY)

91.8%

Running on Rigetti

Technology Partners

Distribution Channels

The latest in quantum thinking

Algorithms & Applications

10.11.23

Quantum-enhanced greedy combinatorial optimization solver

Here, we introduce an iterative quantum heuristic optimization algorithm to solve combinatorial optimization problems. The quantum algorithm reduces to a classical greedy algorithm in the presence of strong noise. We implement the quantum algorithm on a programmable superconducting quantum system using up to 72 qubits for solving paradigmatic Sherrington-Kirkpatrick Ising spin glass problems. We find the quantum algorithm systematically outperforms its classical greedy counterpart, signaling a quantum enhancement.

Learn More

Systems R&D

24.10.23

Coherent control of a superconducting qubit using light

Here, we demonstrate coherent optical control of a superconducting qubit. We achieve this by developing a microwave-optical quantum transducer that operates with up to 1.18% conversion efficiency (1.16% cooperativity) and demonstrate optically-driven Rabi oscillations (2.27 MHz) in a superconducting qubit without impacting qubit coherence times (800 ns). Finally, we discuss outlooks towards using the transducer to network quantum processor nodes.

Learn More

Systems R&D

09.10.23

High-fidelity optical readout of a superconducting qubit using a scalable piezo-optomechanical transducer

Superconducting quantum processors have made significant progress in size and computing potential. As a result, the practical cryogenic limitations of operating large numbers of superconducting qubits are becoming a bottleneck for further scaling. Due to the low thermal conductivity and the dense optical multiplexing capacity of telecommunications fiber, converting qubit signal processing to the optical domain using microwave-to-optics transduction would significantly relax the strain on cryogenic space and thermal budgets. Here, we demonstrate high-fidelity multi-shot optical readout through an optical fiber of a superconducting transmon qubit connected via a coaxial cable to a fully integrated piezo-optomechanical transducer.

Learn More

Algorithms & Applications

21.08.23

Evaluating quantum generative models via imbalanced data classification benchmarks

A limited set of tools exist for assessing whether the behavior of quantum machine learning models diverges from conventional models, outside of abstract or theoretical settings. We present a systematic application of explainable artificial intelligence techniques to analyze synthetic data generated from a hybrid quantum-classical neural network adapted from twenty different real-world data sets, including solar flares, cardiac arrhythmia, and speech data.

Learn More

Keep exploring

Learn how quantum can help you solve problems and energize your innovation.

Why