Dr. Philip Taranto

Assistant Professor

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Biography

Philip Taranto is a Lecturer at the University of Manchester, specializing in Quantum Machine Learning and Artificial Intelligence. He completed his undergraduate and Master's degrees at Monash University in Australia, where he focused on memory effects in open quantum systems under the supervision of Dr. Kavan Modi and Dr. Felix Pollock. He attained his Ph.D. from the University of Vienna, studying quantum thermodynamics and complex temporal correlations under the guidance of Dr. Marcus Huber. Taranto has extensive experience in the field of quantum information science, having worked as a postdoctoral fellow at the University of Tokyo. His research primarily investigates quantum complexity and its computational advantages, focusing on spatial-temporal correlations and the intersection of quantum physics, mathematics, and information science. He employs methodological knowledge using higher-order quantum operations and collaborates with various groups across the globe, contributing to foundational aspects of causality and memory effects in open quantum processes. Taranto is deeply committed to social responsibility and empowers historically excluded groups while advocating for open science and climate justice.

Research Interests

Experience

Lecturer

2023-01-01 — Present

University of Manchester • Manchester, ENG

Teaching and conducting research in Quantum Machine Learning and AI.

JSPS Postdoctoral Fellow

2022-11-01 — 2025-01-10

University of Tokyo • Tokyo, Japan

Conducting research related to quantum information processing.

Requirements for University of Manchester

Master Program
Requirements
GPA Requirement
Required:3.3
IELTS
Listening
Required:6
Reading
Required:6
Writing
Required:6
Speaking
Required:6
Overall
Required:7
TOEFL
Listening
Required:20
Reading
Required:20
Writing
Required:20
Speaking
Required:20
Total
Required:100
Prerequisites
Bachelor's degree in a relevant engineering or science subject Strong background in mathematics and physics
Application Checklist
  • Academic transcripts
  • Two academic references
  • Personal statement
  • CV/Resume
  • English language proficiency certificate
Specialization Notes

Includes MSc in Advanced Electrical Power Systems and MSc in Communications and Signal Processing.