Self-certifying QRNGs for
the Biotech & pharma sector
Stochastic modelling and statistical simulations, such as Monte Carlo simulations, are widely used in biotechnology and pharmaceuticals for essential tasks such as materials science, drug discovery, clinical trial modelling, and biostatistical analysis.
Simulations rely on random sampling; however, this is a task that the current state-of-the-art solution is ill-suited for.
Current RNG solutions used in biotech & pharma
Quantum Dice's DISC™ protected QRNG
- High-speed, but at the detriment of randomness quality
- High speeds of up to 7.5 Gbps
- Exhibit patterns and biases over time
- Negligible bias and live quantum assurance
- Pseudo-randomness
- Continuous verification for quantum assurance
Application areas
Where are QRNGs used in biotech & pharma?
QRNGs for enhancing simulations
Providing reliably high-quality random numbers to enhance stochastic modelling and statistical simulations, such as Monte Carlo simulations.
Quantum Entropy for SimulationsTHE BENEFITS
simulations
IMPROVED ACCURACY
More accurate estimates and predictions mean organisations can make better-informed decisions.
SHORTER SIMULATION TIME
A substantial reduction in computing steps leads to cost, time and energy savings.
Solutions for biotech & pharma
