Quantum computation is conventionally performed using quantum operations acting on two-
level quantum bits, or qubits. Qubits in modern quantum computers suffer from inevitable …

Contemporary quantum computers encode and process quantum information in binary
qubits (d= 2). However, many architectures include higher energy levels that are left as …

High-fidelity two-qubit gates are crucial for the scalability of superconducting quantum
processors. While quantum information processing is typically based on qubits, qutrits (or …

The progress in building quantum computers to execute quantum algorithms has recently
been remarkable. Grover's search algorithm in a binary quantum system provides a …

Quantum computing is in an era of limited resources. Current hardware lacks high fidelity
gates, long coherence times, and the number of computational units required to perform …

Resource consumption is an important issue in quantum information processing, particularly
during the present NISQ era. In this paper, we investigate resource optimization of …

Quantum computing promises speedup of classical algorithms in the long term. Current
hardware is unable to support this goal and programs must be efficiently compiled to use of …

This work presents the first thorough exploration of the attacks on the interface between gate-
level and pulse-level quantum circuits and pulse-level quantum circuits themselves …

Quantum computation has extraordinary capabilities for solving complicated problems. As
quantum computations are reversible by nature, reversible circuits are important for the …

In some quantum algorithms, arithmetic operations are of utmost importance for resource
estimation. In binary quantum systems, some efficient implementation of arithmetic …