The quantum computing industry is currently in the “noisy intermediate scale quantum computing” (NISQ) era, where the focus is on developing larger-scale devices. However, as the number of qubits (the basic unit of quantum information) increases, so does the potential for errors. Fire Opal, a new technology, aims to suppress these errors automatically, improving the performance of quantum algorithms run on real quantum hardware.
Fire Opal now enables users to get optimal performance from 27-qubit devices on IBM for free, with plans to expand to 127-qubit devices. The technology uses AI-driven error suppression to prevent errors from occurring in the hardware, enabling accurate results. Fire Opal can improve success probability by over 1000X for certain algorithms and can achieve a confidence level of over 99.9% in less than 700 repetitions. It also offers significant cost savings by reducing the total computation required to achieve a desired confidence level. Fire Opal is simple to use, with a single line of code that works across platforms.
Introduction
Fire Opal, a quantum computing company, has developed an AI-driven error suppression technology that improves the performance of quantum algorithms run on real quantum hardware. The technology is designed to suppress errors that can corrupt calculations as the number of qubits increases. Fire Opal’s technology is now available for all users on 27-qubit devices on IBM for free, with plans to expand to 127-qubit devices. The company claims that its technology can improve success probability by over 1000X for certain algorithms and can deliver results up to 5,700 times faster than default settings.
Quantum Computing Advancements and Challenges
The quantum computing industry is currently in the “noisy intermediate scale quantum computing” (NISQ) era, where the focus is on developing larger-scale devices. This is because solving practical problems requires a higher number of qubits. While there has been significant progress in increasing the sizes of available systems, scaling quantum hardware alone is not sufficient. As the number of qubits increases, there are more opportunities for errors to occur and corrupt a calculation. This has led to a growing gap between what the hardware can deliver and the typical performance experienced by a user as the number of qubits used in an algorithm grows.
Fire Opal’s Role in Quantum Computing
Fire Opal is a tool designed to suppress errors automatically in quantum algorithms run on real quantum hardware. It aims to improve the performance of quantum devices, and currently enables users to get optimal performance from 27-qubit devices on IBM for free. Soon, it will expand to include 127-qubit devices, pushing beyond what is currently simulatable on classical computers.
Achieving Accurate Results with Fire Opal
Running algorithms on real quantum computers often results in errors overwhelming the computer’s output. This means that, by default, users are more likely to get the wrong answer than the right one. Fire Opal’s AI-driven error suppression technology prevents errors from occurring in the hardware, enabling users to get accurate results that would otherwise be impossible to extract. Fire Opal has been shown to improve success probability by over 1000X for the Bernstein Vazirani algorithm.
Saving Time and Reducing Costs with Fire Opal
Using Fire Opal can result in significant time and cost savings. Iterating hundreds to thousands of times just to get the wrong answer is a waste of time and money. Fire Opal can help users get the right answer faster—over 5,000X faster. This reduction in computation time can deliver significant cost savings. For example, running a complete study rather than a single circuit could cost nearly $11,000 in compute time, compared to only $1.09 with Fire Opal.
Fire Opal is designed to be simple to use. With a single line of code that works across platforms, users can automatically maximise the performance of their quantum devices. Fire Opal now supports Pay-as-you-go Plan devices through IBM Cloud and Premium and Open Plan devices on IBM Quantum. Both platforms can be accessed using the same simple Fire Opal commands. Users can access both IBM Cloud Pay-as-you-go devices and Open plan on the free version of Fire Opal.
Quick Summary
Fire Opal, an AI-driven error suppression technology, is designed to improve the performance of quantum computing by reducing errors as the number of qubits increases. The technology has shown to significantly increase the success probability of quantum algorithms, and can deliver accurate results faster, potentially reducing quantum computing costs.
- The quantum computing industry is in the “noisy intermediate scale quantum computing” (NISQ) era, where the focus is on developing larger-scale devices.
- As the number of qubits in a system increases, so does the potential for error, which can disrupt calculations.
- Fire Opal is a tool designed to suppress these errors automatically, improving the performance of quantum algorithms run on real quantum hardware.
- Fire Opal now supports 27-qubit devices on IBM for free, with plans to expand to 127-qubit devices.
- The tool uses AI-driven error suppression technology to prevent errors in the hardware, enabling more accurate results.
- Fire Opal has been shown to improve success probability by over 1000X for the Bernstein Vazirani algorithm.
- The tool also reduces computation time, which can lead to significant cost savings. For example, it can achieve 99% confidence in a 10-qubit Quantum Fourier Transform circuit in 0.012 seconds, compared to nearly 70 seconds with default settings.
- Fire Opal is simple to use, with a single line of code that works across platforms. It supports Pay-as-you-go Plan devices through IBM Cloud and Premium and Open Plan devices on IBM Quantum.