On November 19, 2025, Dr. Gurmukh Singh, a senior lecturer within the Department of Computer and Information Sciences, will present “Quantum Computers: Bits to Qubits” at Houghton Hall Room 260. The presentation will detail the fundamental distinctions between classical and quantum computation, elucidating the transition from digital bits to quantum bits (qubits) and the underlying principles of quantum superposition, interference, and entanglement. Sponsored by the Department’s Recruitment, Retention, and Outreach Committee (CIS RROC) and organized by chair Dr. Shahin Mehdipour Ataee, the talk aims to explain the advantages and limitations of quantum computing and its potential applications across diverse scientific and technological fields.
Presentation Overview: “Bits to Qubits”
Dr. Gurmukh Singh’s November 19th presentation, “Quantum Computers: Bits to Qubits,” will detail the shift from classical computing’s binary bits – representing 0 or 1 – to quantum bits, or qubits. Unlike bits, qubits leverage quantum mechanics to exist in a superposition of both 0 and 1 simultaneously. This fundamental difference allows quantum computers to explore vastly more possibilities than classical machines, potentially solving complex problems currently intractable. The 3 p.m. talk in Houghton Hall 260, sponsored by the CIS RROC, aims to demystify this emerging technology.
The presentation will delve into the three core principles underpinning quantum computing: superposition, interference, and entanglement. Quantum entanglement, specifically, links qubits together, meaning
Quantum Computing: Principles and Applications
Quantum computing departs radically from classical computation by leveraging quantum mechanics. Instead of bits representing 0 or 1, quantum computers utilize qubits. These qubits exploit superposition, allowing them to represent 0, 1, or a combination of both simultaneously. This isn’t just theoretical; a qubit’s state is described by a complex probability amplitude, enabling exponentially more computational states than classical bits. For example, 300 qubits could represent more states than there are atoms in the observable universe – a key driver for tackling previously impossible problems.
Central to quantum processing are principles like quantum interference and entanglement. Interference manipulates qubit probabilities, amplifying correct answers while suppressing incorrect ones. Entanglement links two or more qubits, regardless of distance, so that
