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Sep 17, 2024 · Product updates. Qiskit: The most performant quantum software development kit. Using a new open-source suite of over 1,000 benchmarking tests developed by leading universities, national labs, and researchers at IBM®, we found that Qiskit is second-to-none in terms of the speed and quality demonstrated for most test tasks.
Sep 16, 2024 · Qiskit leads quantum software development kits in performance, testing shows. We compared Qiskit®’s performance against the world's leading quantum SDKs using Benchpress, a new open-source package for quantum benchmarking. We found Qiskit to be the highest-performing quantum software development kit for building and transpiling quantum ...
IBM Quantum is committed to delivering the most performant SDK possible, and to that end, the Qiskit SDK is benchmarked using over 1,000 tests developed by leading universities, national labs, and researchers at IBM. The benchmarking suite used for these tests, named Benchpress, is now available as an open-source package. You can now use the ...
Sep 26, 2024 · Last week, IBM introduced a new tool — Benchpress — intended to help evaluate various quantum computer SDKs and stacks. IBM issued a paper (Benchmarking the performance of quantum computing software) describing the new tool. At first glance Benchpress sounds interesting. Here’s the paper’s abstract. “We present Benchpress, a ...
- Qubit Number, Logic vs Physical Qubits
- Coherence Times to Gate Operation Ratio
- Single Qubit and Gate Fidelity
- Topology, Qubit Connectivity
- Quantum Volume
- Circuit Layer Operations Per Second
- Randomized Benchmarking
- Algorithmic and Volumetric Benchmarking
Currently one of the most prominent comparison metrics quoted in literature is the qubit number. The thinking here is that the higher the number of qubits, the more powerful the QPU, as it can process larger or more intricate algorithms. On face value this is true, however the reality is much more complex. As the current generation of QPUs still la...
Qubits, just like any other quantum element are sensitive to their environment. Interaction with the environment can cause decoherence of the quantum state. This means that the qubits have specific time frames or lifetimes during which they are viable for logic processing. This means that to operate the qubit for information processing, control sig...
Qubit fidelity is one of the most important metrics that relate qubit quality to performance: Strictly speaking the fidelity, expressed as a percentage, is the probability that a qubit will be in a certain known quantum state after a specific gate operation. In terms of the Bloch sphere, the fidelity gives an idea of the distance between the ideal ...
The algorithms used for quantum computing involve leveraging the quantum physics defining the qubit. One of most important aspects of this is entanglement, where the qubits although spatially separated, have a shared state, i.e the control or measurement of the state of one qubit will directly influence another entangled qubit. The gates used in in...
Ultimately the capability of a QPU is determined by the size or intricacy of the algorithm it can run (i.e. the problems it can solve). In order to get away from component level metrics related to single qubits, IBM developed an alternative metric in 2018 for evaluating QPU performance: Quantum volume (QV). The quantum volume considers a range of d...
As mentioned before, different qubits have vastly different relaxation times, coherence times, and gate execution speeds and although they are useful performance metrics, they may not give a true indication of the overall speed at which a QPU can perform its logic processing. This is because the intricacies involved in writing a full program will i...
Quantum State tomography, i.e., the process of measuring and determining the state of the qubits after a set of well-defined gate operations, are in general used to determine the error rates and fidelity of the qubits. Although this is very useful technique, there are some limitations with this. Firstly, it becomes infeasible to apply QST to even m...
Currently state-of-the-art NISQ available are between a few tens to just over one hundred qubits, its becoming increasingly important to look at scalable techniques for benchmarking and especially important for looking at application specific techniques. This need has seen the recent emergence of novel benchmarking practice that evaluates instead o...
Sep 18, 2024 · IBM Quantum blog. Browse all blogs at the IBM Quantum blog page.. Qiskit: The most performant quantum software development kit. Using a new open-source suite of over 1,000 benchmarking tests developed by leading universities, national labs, and researchers at IBM, we found that Qiskit is second-to-none in terms of the speed and quality demonstrated for most test tasks.
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OpenQASM is the open-source unified low-level assembly language for IBM quantum machines publically available on the cloud that have been investigated and verified by many existing research works. Several popular quantum software frameworks use OpenQASM as one of their output-formats, including Qiskit , Cirq , Scaffold , ProjectQ , etc.
