ChemicalQDeviceQuantum Algorithm Advancements for Radiology
Dear Healthcare Colleague, my name is Kevin Kawchak, and I am the Founder CEO of ChemicalQDevice. Today is March 24th, 2023 for "Quantum Algorithm Advancements for Neuroradiology Applications"
At least 7 publications in Literature between 2021 and 2023 feature Hybrid quantum algorithms as part of larger classical networks, which improved classifying medical image datasets utilizing smaller qubit simulators. [1-7]
In order to take greater advantage of quantum marchine learning, larger circuits utilizing Instantaneous quantum polynomial (IQP) embedding will prospectively lead to larger dataset incorporations and exponentially faster times when compared to conventional approaches while increasing kernel sizes. [8-9]
Quantum circuit building blocks such as Bell States, GHZ States, and W States may be used to assist medical imaging classifications. In Literature, quantum circuits have been published that generate maximally entangled qubit states. In addition, other studies by Xanadu Computing with tensor-networks. [10-13]
The goals of achieving robustness utilizing the IQP protocol, and incorporating quantum building blocks for enhanced classification in neuroradiology will likely be obtained as real quantum computers achieve higher numbers of qubits with less system noise, as published in Nature. [14-15]
This week, IBM announced the installation completion of the First quantum computer in healthcare for the private sector at Cleveland Clinic Medical Center. In addition, NVIDIA and Quantum Machines announced a new System that promises enhanced quantum error correction with the aid of Graphics processing units. [16-17]
Further Progress to aid in brain imaging classifications is expected to continue, as MIT Technology Reviews stateed that "In 2023, progress in quantum computing will be defined less by big hardware announcements than by researchers consolidating years of hard work, getting chips to talk to one another, and shifting away from trying to make do with noise as the field gets ever more international in scope." In addition, National Science Foundation expects a Practical Quantum Computer by their funded projects This Year. [18-19]
19 References are available in the comments below. Have a productive rest of your day. Smile at Intervals.
3/24/23 "Quantum Algorithm Advancements for Neuroradiology Applications"References[1] https://aip.scitation.org/doi/10.1063/5.0138021[2] https://www.mdpi.com/2227-7390/11/2/376[3] https://arxiv.org/pdf/2301.12505.pdf[4] https://www.mdpi.com/2079-9292/11/5/721[5] https://arxiv.org/abs/2102.06535[6] https://bmcmedinformdecismak.biomedcentral.com/articles/10.1186/s12911-021-01588-6[7] https://arxiv.org/abs/2302.04633[8] https://iopscience.iop.org/article/10.1088/2632-2153/acb0b4[9] https://www.youtube.com/watch?v=G1A0YaxMC9A&t=18s[10] https://quantum-computing.ibm.com/admin/docs/admin/guide/entanglement[11] https://quantum-computing.ibm.com/admin/docs/admin/guide/quantum-phase-estimation[12] https://arxiv.org/abs/2110.06362 [13] https://www.nature.com/articles/s41598-023-30258-y[14] https://www.nature.com/articles/d41586-023-00536-w[15] https://www.quantinuum.com/news/quantum-volume-reaches-5-digits-for-the-first-time-5-perspectives-on-what-it-means-for-quantum-computing[16] https://newsroom.ibm.com/2023-03-20-Cleveland-Clinic-and-IBM-Unveil-First-Quantum-Computer-Dedicated-to-Healthcare-Research[17] https://nvidianews.nvidia.com/news/nvidia-announces-new-system-for-accelerated-quantum-classical-computing[18] https://www.technologyreview.com/2023/01/06/1066317/whats-next-for-quantum-computing/[19] https://nsf.gov/news/factsheets/Factsheet_Quantum-proof7_508.pdf
Created by Kevin Kawchak Founder CEO ChemicalQDevice2023 San Diego, CaliforniaAdvancing Neuroimaging
At least 7 publications in Literature between 2021 and 2023 feature Hybrid quantum algorithms as part of larger classical networks, which improved classifying medical image datasets utilizing smaller qubit simulators. [1-7]
In order to take greater advantage of quantum marchine learning, larger circuits utilizing Instantaneous quantum polynomial (IQP) embedding will prospectively lead to larger dataset incorporations and exponentially faster times when compared to conventional approaches while increasing kernel sizes. [8-9]
Quantum circuit building blocks such as Bell States, GHZ States, and W States may be used to assist medical imaging classifications. In Literature, quantum circuits have been published that generate maximally entangled qubit states. In addition, other studies by Xanadu Computing with tensor-networks. [10-13]
The goals of achieving robustness utilizing the IQP protocol, and incorporating quantum building blocks for enhanced classification in neuroradiology will likely be obtained as real quantum computers achieve higher numbers of qubits with less system noise, as published in Nature. [14-15]
This week, IBM announced the installation completion of the First quantum computer in healthcare for the private sector at Cleveland Clinic Medical Center. In addition, NVIDIA and Quantum Machines announced a new System that promises enhanced quantum error correction with the aid of Graphics processing units. [16-17]
Further Progress to aid in brain imaging classifications is expected to continue, as MIT Technology Reviews stateed that "In 2023, progress in quantum computing will be defined less by big hardware announcements than by researchers consolidating years of hard work, getting chips to talk to one another, and shifting away from trying to make do with noise as the field gets ever more international in scope." In addition, National Science Foundation expects a Practical Quantum Computer by their funded projects This Year. [18-19]
19 References are available in the comments below. Have a productive rest of your day. Smile at Intervals.
3/24/23 "Quantum Algorithm Advancements for Neuroradiology Applications"References[1] https://aip.scitation.org/doi/10.1063/5.0138021[2] https://www.mdpi.com/2227-7390/11/2/376[3] https://arxiv.org/pdf/2301.12505.pdf[4] https://www.mdpi.com/2079-9292/11/5/721[5] https://arxiv.org/abs/2102.06535[6] https://bmcmedinformdecismak.biomedcentral.com/articles/10.1186/s12911-021-01588-6[7] https://arxiv.org/abs/2302.04633[8] https://iopscience.iop.org/article/10.1088/2632-2153/acb0b4[9] https://www.youtube.com/watch?v=G1A0YaxMC9A&t=18s[10] https://quantum-computing.ibm.com/admin/docs/admin/guide/entanglement[11] https://quantum-computing.ibm.com/admin/docs/admin/guide/quantum-phase-estimation[12] https://arxiv.org/abs/2110.06362 [13] https://www.nature.com/articles/s41598-023-30258-y[14] https://www.nature.com/articles/d41586-023-00536-w[15] https://www.quantinuum.com/news/quantum-volume-reaches-5-digits-for-the-first-time-5-perspectives-on-what-it-means-for-quantum-computing[16] https://newsroom.ibm.com/2023-03-20-Cleveland-Clinic-and-IBM-Unveil-First-Quantum-Computer-Dedicated-to-Healthcare-Research[17] https://nvidianews.nvidia.com/news/nvidia-announces-new-system-for-accelerated-quantum-classical-computing[18] https://www.technologyreview.com/2023/01/06/1066317/whats-next-for-quantum-computing/[19] https://nsf.gov/news/factsheets/Factsheet_Quantum-proof7_508.pdf
Created by Kevin Kawchak Founder CEO ChemicalQDevice2023 San Diego, CaliforniaAdvancing Neuroimaging