Quantum convolutional HLA immunogenic peptide prediction (Q-…

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2026
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  • DOI 10.1126/sciadv.aec3824
  • PMID https://pubmed.ncbi.nlm.nih.gov/42497272
  • OpenAlex ID W7170384309
  • Type Article
  • Language EN
  • Published 24 Jul 2026
  • Volume 12 (30)
  • Pages eaec3824
  • Source Science Advances
  • Publisher American Association for the Advanc…
  • Countries 2
  • Institutions 6
  • Added 25 Jul 2026
  • Updated 24 Oct 2026
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Quantum convolutional HLA immunogenic peptide prediction (Q-CHIPP): Next-generation neoantigen prediction with quantum neural network

Article 2026 EN Gold

The rapid growth of quantum computing is driven by promises of performing complex calculations with unprecedented speed; however, current use cases have been limited by quantum hardware and the difficulty of identifying problems that classical computers cannot easily address. Within these constraints, biological problems including drug discovery, protein folding, and precision medicine present an…

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13 authors
#AuthorInstitutionsORCID
1 Ryan Peters Cleveland Clinic (US) Cleveland Clinic Research (US)
2 Kahn Rhrissorrakrai IBM (United States) (US) IBM Research - Thomas J. Watso… (US)
3 Prerana Bangalore Parthasarathy Cleveland Clinic (US) Cleveland Clinic Research (US)
4 Vadim Ratner IBM Research - Haifa (IL)
5 Tanvi P. Gujarati IBM (United States) (US)
6 Meltem Tolunay IBM (United States) (US)
7 Jie Shi IBM (United States) (US) University of California, San … (US)
8 Jeffrey K. Weber IBM (United States) (US) IBM Research - Thomas J. Watso… (US)
9 Timothy An-thy Chan Cleveland Clinic (US) Cleveland Clinic Research (US)
10 Laxmi Parida IBM (United States) (US) IBM Research - Thomas J. Watso… (US)
11 Sara Capponi Corresponding IBM (United States) (US) University of California, San … (US)
12 Filippo Utro IBM (United States) (US) IBM Research - Thomas J. Watso… (US)
13 Tyler Joseph Alban Corresponding Cleveland Clinic (US) Cleveland Clinic Research (US)

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