Quantentechnologien in der Finanzindustrie (2/3): Use Cases, Chancen und Realität
Markets and NewsQuantentechnologien in der Finanzindustrie (2/3): Use Cases, Chancen und Realität
Nach den Grundlagen aus Teil 1 wird es jetzt konkreter: Welche Anwendungen sind tatsächlich realistisch und wo beginnt der Hype?
Gemeinsam mit Dr. Jan Donges und Dr. Daniel Vajner diskutieren wir zentrale theoretische und praktische Use Cases von Quantentechnologien mit besonderem Fokus auf die Finanzindustrie.
Ein Schwerpunkt liegt auf bekannten Algorithmen:
Shor-Algorithmus (Kryptographie und mögliche Bedrohung von RSA)
Grover-Algorithmus (Optimierungs- und Suchprobleme)
Dabei ordnen wir klar ein:
Der oft diskutierte „Q-Day“, an dem heutige Verschlüsselung gebrochen werden könnte, ist kein kurzfristiges Szenario, sondern eher eine Frage der nächsten 10–20 Jahre.
Weitere Themen dieser Folge:
Portfoliooptimierung und Finanzmodelle
Quantensensorik und reale Anwendungen (z. B. Navigation, Medizin)
Quantenkommunikation und abhörsichere Datenübertragung
„Harvest now, decrypt later“ als strategisches Risiko
Post-Quantum-Kryptographie als pragmatische Alternative
Auch die ökonomische Perspektive kommt nicht zu kurz:
SPACs und Börsengänge von Quantenfirmen
Hoher Kapitalbedarf und lange Entwicklungszyklen
Chancen und Risiken für Investoren
Ein zentrales Learning: Viele Anwendungen sind heute noch experimentell – aber erste wirtschaftlich relevante Technologien (v. a. Sensorik und Kryptographie) entstehen bereits.
Diese Episode schlägt die Brücke von Theorie zu Markt und Strategie.
Weiter in Teil 3: Zusammenspiel von Quantentechnologie und KI, reale Grenzen und der Blick nach vorn.
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