QUANTUM COMPUTING FOR FINANCIAL CRIME, FRAUD, AND FORENSICS: Quantum Algorithms, Cryptographic Risk, Fraud Detection, Financial Investigation and Digital Forensic Methods for the Post-Quantum Era

Bys: Alessio Faccia and Abraham Itzhak Weinberg

Quantum Computing for Financial Crime, Fraud, and Forensics examines how quantum computing is changing the technical foundations of financial crime detection, fraud analytics, cryptographic security, anti-money laundering, sanctions screening, digital assets, and forensic investigation.

Written for forensic accountants, fraud investigators, compliance professionals, auditors, risk managers, cybersecurity specialists, financial institutions, regulators, researchers, and advanced students, the book connects quantum computing with real financial investigation problems. Its focus extends from qubits and quantum algorithms to fraud detection, suspicious transaction analysis, blockchain risk, post-quantum cryptography, digital evidence, governance, and investigative control frameworks.

The book begins with the foundations of quantum computing for finance and investigation. Readers examine qubits, superposition, entanglement, quantum measurement, quantum algorithms, and the security threats facing banking, payment systems, and digital assets. The discussion separates realistic applications from exaggerated claims about quantum computing and places strong emphasis on measurable performance, resource requirements, benchmarking, data quality, reproducibility, and evidential reliability.

A dedicated section examines quantum methods for fraud detection and financial crime analytics. Topics include quantum machine learning, transaction monitoring, anomaly detection, quantum classification, suspicious transaction analysis, network analysis, money laundering structures, hidden transaction relationships, and hybrid quantum-classical models.

The book then turns to the cryptographic risks created by future fault-tolerant quantum computers. Readers examine Shor's algorithm, public-key cryptography, digital signatures, encrypted financial records, post-quantum cryptography, blockchain assets, cryptocurrency investigations, chain of custody, and the preservation of digital evidence. It also addresses long-term information security and the risk created when encrypted data collected today remains sensitive for years. QUANTUM_COMPUTING_FOR_FINANCIAL...

Financial crime investigation receives detailed treatment through applications involving suspicious transaction networks, hidden relationships, alert prioritisation, anomaly detection, entity matching, graph analysis, digital asset tracing, sanctions screening, AML, and forensic casework. Quantum computation is presented as an analytical instrument within a wider investigative process where source verification, documentary evidence, reproducibility, professional scepticism, and human judgement remain essential.

• Format: Paperback
• Language: English
• ISBN: B0HL84TCSF
• ISBN13: 9798177543567
• Release Date: September 2026
• Publisher: Independently published
• Length: 353 Pages
• Weight: 1.04 lbs.
• Dimensions: 9.0" x 0.8" x 6.0"