Kode Mata KuliahFI4111 / 3 SKS
Penyelenggara102 - Physics / FMIPA
KategoriLecture
Bahasa IndonesiaEnglish
Nama Mata KuliahSistem Kuantum Terbuka dan Komputasi KuantumQuantum Computation
Bahan Kajian
  1. Matriks densitas
  2. Sifat-sifat matriks densitas
  3. Matriks densitas untuk keadaan murni dan keadaan campuran
  4. Sistem Kuantum Terbuka
  5. Dinamika Sistem Kuantum Terbuka
  6. Operator representasi dan dinamika kuantum semigrup
  7. Dynamical map dan Quantum channel
  8. Komputasi kuantum
  9. Gerbang-gerbang kuantum
  10. Gerbang Hadamard, gerbang pergeseran fase, gerbang cNOT, gerbang pergeseran fase terkontrol, jaringan kuantum
  11. Teleportasi kuantum, pengiriman informasi yang hemat (superdense coding)
  12. Algoritma kuantum
  13. Algoritma Grover
  14. Algoritma Deutsch-Jozsa
  1. Density matrix
  2. Density matrix properties
  3. Density matrix for pure state and mixed state
  4. Open Quantum Systems
  5. Dynamics of Open Quantum Systems
  6. Representation operators and semigroup quantum dynamics
  7. Dynamic map and Quantum channel
  8. Quantum computing
  9. Quantum gates
  10. Hadamard gate, phase shift gate, cNOT gate, controlled phase shift gate, quantum network
  11. Quantum teleportation, efficient transmission of information (superdense coding)
  12. Quantum algorithms
  13. Grover's Algorithm
  14. Deutsch-Jozsa algorithm
Capaian Pembelajaran Mata Kuliah (CPMK)
  1. Mahasiswa mampu menunjukkan pengetahuan dalam masalah sistem kuantum terbuka mulai dari matriks densitas hingga dinamika sistem kuantum terbuka
  2. Mahasiswa mampu untuk memformulasikan operator representasi dan dynamical map serta quantum channel
  3. Mahasiswa mampu untuk menunjukkan konsep dasar komputasi kuantum
  4. Mahasiswa mampu mengidentifikasi, memformulasi dan menyelesaikan masalah aplikasi komputasi kuantum
  5. Mahasiswa mampu menunjukkan dan mengaplikasikan algoritma kuantum
  1. Students are able to demonstrate knowledge in open quantum system problems ranging from density matrices to open quantum system dynamics
  2. Students are able to formulate representation operators and dynamical maps and quantum channels
  3. Students are able to demonstrate the basic concepts of quantum computing
  4. Students are able to identify, formulate and solve quantum computing application problems
  5. Students are able to demonstrate and apply quantum algorithms
Metode PembelajaranKuliah Tatap Muka, DiskusiFace to Face Lectures, Discussions
Modalitas PembelajaranPembelajaran Aktif dan Tugas MandiriActive Learning and Independent Assignments
Jenis NilaiABCDE
Metode PenilaianTugas, PR, Ujian Tengah Semester, Ujian Akhir SemesterAssignments, homework, midterm exams, final semester exams
Catatan TambahanMKPB